diff --git a/.gitignore b/.gitignore index b1c9e83..de69cdb 100644 --- a/.gitignore +++ b/.gitignore @@ -107,4 +107,4 @@ ENV/ .vscode/ .vs/ .idea/ -trainer/all_data/** + diff --git a/trainer/all_data/.gitignore b/trainer/all_data/.gitignore new file mode 100644 index 0000000..6a62fa4 --- /dev/null +++ b/trainer/all_data/.gitignore @@ -0,0 +1 @@ +4digit*/** \ No newline at end of file diff --git a/trainer/all_data/arial.ttf b/trainer/all_data/arial.ttf new file mode 100644 index 0000000..ab68fb1 Binary files /dev/null and b/trainer/all_data/arial.ttf differ diff --git a/trainer/all_data/folder.txt b/trainer/all_data/folder.txt new file mode 100644 index 0000000..8e455ad --- /dev/null +++ b/trainer/all_data/folder.txt @@ -0,0 +1 @@ +place dataset folder here diff --git a/trainer/all_data/generate_digits_random_fs_bg_fg.py b/trainer/all_data/generate_digits_random_fs_bg_fg.py new file mode 100644 index 0000000..a7eabcd --- /dev/null +++ b/trainer/all_data/generate_digits_random_fs_bg_fg.py @@ -0,0 +1,86 @@ + +import cv2 +import numpy as np +import os +import random +from PIL import Image, ImageDraw, ImageFont + +X_RAND_VALUE = 2 +Y_RAND_VALUE = 1 +ROTATE_ANGLE = 3 + + +BG_COLORS = [ + (33, 40, 45), (36, 51, 62), (35, 37, 154), + (0, 38, 202), (239, 255, 255), (241, 255, 255) +] + +DIGIT_COLORS = [(34, 199, 253), (25, 214, 253)] + +def generate_4digit_image(): + bg_color = random.choice(BG_COLORS) + font_size = random.randint(24, 30) + font = ImageFont.truetype("arial.ttf", font_size) + + # 扩大画布尺寸(50x160)提供足够缓冲空间 + canvas = np.zeros((50, 160, 3), dtype=np.uint8) + canvas[:,:] = bg_color + pil_img = Image.fromarray(canvas) + draw = ImageDraw.Draw(pil_img) + + digits = [] + for i in range(4): + digit = str(random.randint(0, 9)) + digits.append(digit) + x_offset = random.randint(-X_RAND_VALUE, X_RAND_VALUE) + y_offset = random.randint(-Y_RAND_VALUE, Y_RAND_VALUE) + digit_color = random.choice(DIGIT_COLORS) + # 调整数字绘制位置到画布中心区域 + draw.text((20+i*32+x_offset, 12+y_offset), digit, + font=font, fill=digit_color) + + angle = random.uniform(-ROTATE_ANGLE, ROTATE_ANGLE) + rotated = pil_img.rotate(angle, expand=True, fillcolor=bg_color) + # 安全裁剪区域(从扩大后的画布中心裁剪) + rotated = rotated.crop((20, 10, 148, 42)) + + return np.array(rotated), ''.join(digits) + +def generate_train_dataset(num_samples=1000): + os.makedirs('4digit_train', exist_ok=True) + with open('4digit_train/labels.csv', 'w') as f: + f.write(f"filename,words\n") + for i in range(num_samples): + img, label = generate_4digit_image() + # print(f"type of label : {type(label)}") + label = str(label).zfill(4) + img_path = f'4digit_train/{i:04d}.jpg' + cv2.imwrite(img_path, img) + f.write(f"{i:04d}.jpg,{label}\n") + +def generate_valid_dataset(num_samples=200): + os.makedirs('4digit_valid', exist_ok=True) + with open('4digit_valid/labels.csv', 'w') as f: + f.write(f"filename,words\n") + for i in range(num_samples): + img, label = generate_4digit_image() + label = str(label).zfill(4) + + img_path = f'4digit_valid/{i:04d}.jpg' + cv2.imwrite(img_path, img) + f.write(f"{i:04d}.jpg,{label}\n") + +def generate_eval_dataset(num_samples=200): + os.makedirs('4digit_eval', exist_ok=True) + with open('4digit_eval/labels.csv', 'w') as f: + f.write(f"filename,words\n") + for i in range(num_samples): + img, label = generate_4digit_image() + label = str(label).zfill(4) + img_path = f'4digit_eval/{i:04d}.jpg' + cv2.imwrite(img_path, img) + f.write(f"{i:04d}.jpg,{label}\n") +if __name__ == "__main__": + generate_train_dataset() + generate_eval_dataset() + generate_valid_dataset() \ No newline at end of file diff --git a/trainer/all_data/split_dataset.py b/trainer/all_data/split_dataset.py new file mode 100644 index 0000000..85eafa4 --- /dev/null +++ b/trainer/all_data/split_dataset.py @@ -0,0 +1,47 @@ + +import os +import shutil +import csv + +def split_dataset(labels_path, img_source_dir, train_dir='train', valid_dir='valid'): + # 创建目标文件夹 + os.makedirs(train_dir, exist_ok=True) + os.makedirs(valid_dir, exist_ok=True) + + # 初始化CSV写入器 + train_csv = open(os.path.join(train_dir, 'labels.csv'), 'w', newline='') + valid_csv = open(os.path.join(valid_dir, 'labels.csv'), 'w', newline='') + train_writer = csv.writer(train_csv) + valid_writer = csv.writer(valid_csv) + + with open(labels_path, 'r') as f: + lines = f.readlines() + + for i, line in enumerate(lines): + parts = line.strip().split(',') + img_name = parts[0].strip() + + + label = parts[1] if len(parts) > 1 else '' + src_path = os.path.join(img_source_dir, img_name) + print(f"处理图片: {img_name}, 标签: {label}") + if i < 700: # 训练集 + dst_path = os.path.join(train_dir, img_name) + train_writer.writerow([img_name, label]) + else: # 验证集 + dst_path = os.path.join(valid_dir, img_name) + valid_writer.writerow([img_name, label]) + + if os.path.exists(src_path): + shutil.copy2(src_path, dst_path) + else: + print(f"警告：源图片不存在 {src_path}") + + train_csv.close() + valid_csv.close() + +# 使用示例 +split_dataset( + labels_path='en_sample/labels.csv', + img_source_dir='en_sample' +) diff --git a/trainer/config_files/4digit_config.yaml b/trainer/config_files/4digit_config.yaml index e84cb0e..d9219d6 100644 --- a/trainer/config_files/4digit_config.yaml +++ b/trainer/config_files/4digit_config.yaml @@ -8,8 +8,8 @@ manualSeed: 1111 workers: 6 batch_size: 32 #32 num_iter: 3000 -valInterval: 5 -saved_model: '' #'saved_models/en_filtered/iter_300000.pth' +valInterval: 10 +saved_model: 'saved_models/4digit/best_accuracy.pth' FT: False optim: False # default is Adadelta lr: 1. diff --git a/trainer/export_onnx.py b/trainer/export_onnx.py new file mode 100644 index 0000000..5d969c7 --- /dev/null +++ b/trainer/export_onnx.py @@ -0,0 +1,87 @@ + +import torch +import argparse +from model import Model +import os +import torch.backends.cudnn as cudnn +import yaml +from utils import AttrDict +import pandas as pd +from utils import CTCLabelConverter, AttnLabelConverter, Averager + + +cudnn.benchmark = True +cudnn.deterministic = False + +def get_config(file_path): + with open(file_path, 'r', encoding="utf8") as stream: + opt = yaml.safe_load(stream) + opt = AttrDict(opt) + + if opt.lang_char == 'None' and opt.symbol=='None': + opt.character = opt.number + elif opt.lang_char == 'None': + characters = '' + for data in opt['select_data'].split('-'): + csv_path = os.path.join(opt['train_data'], data, 'labels.csv') + df = pd.read_csv(csv_path, sep='^([^,]+),', engine='python',dtype={'words': str}, usecols=['filename', 'words'], keep_default_na=False) + all_char = ''.join(df['words']) + characters += ''.join(set(all_char)) + characters = sorted(set(characters)) + opt.character= ''.join(characters) + else: + opt.character = opt.number + opt.symbol + opt.lang_char + os.makedirs(f'./saved_models/{opt.experiment_name}', exist_ok=True) + if 'CTC' in opt.Prediction: + converter = CTCLabelConverter(opt.character) + else: + converter = AttnLabelConverter(opt.character) + opt.num_class = len(converter.character) + print(f"converter.character : {converter.character}") + print(f"字符集: {opt.character}") + print(f"字符集长度: {opt.num_class}") + os.makedirs(f'./saved_models/{opt.experiment_name}', exist_ok=True) + return opt + +def parse_args(): + parser = argparse.ArgumentParser(description='PyTorch模型转ONNX格式工具') + parser.add_argument('--input', type=str, default='digit_cnn.pth', + help='输入PyTorch模型路径 (默认: digit_cnn.pth)') + parser.add_argument('--output', type=str, default='digit_cnn.onnx', + help='输出ONNX模型路径 (默认: digit_cnn.onnx)') + parser.add_argument('--opset', type=int, default=11, + help='ONNX算子集版本 (默认: 11)') + return parser.parse_args() + +def convert_to_onnx(input_path, output_path, opset_version,opt): + device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + + if opt.rgb: + opt.input_channel = 3 + model = Model(opt).to(device) + torch.load(input_path) + model.eval() + + dummy_input = torch.randn(1, 3, 32, 128).to(device) + + torch.onnx.export( + model, + dummy_input, + output_path, + export_params=True, + opset_version=opset_version, + do_constant_folding=True, + input_names=['input'], + output_names=['output'], + dynamic_axes={ + 'input': {0: 'batch_size'}, + 'output': {0: 'batch_size'} + } + ) + print(f"模型已成功转换为 {output_path} (opset {opset_version})") + +if __name__ == '__main__': + args = parse_args() + opt = get_config("config_files/4digit_config.yaml") + + convert_to_onnx(args.input, args.output, args.opset,opt) diff --git a/trainer/saved_models/4digit/best_accuracy.pth b/trainer/saved_models/4digit/best_accuracy.pth index 4232f42..2bc36a9 100644 Binary files a/trainer/saved_models/4digit/best_accuracy.pth and b/trainer/saved_models/4digit/best_accuracy.pth differ diff --git a/trainer/saved_models/4digit/best_accuracy_2507111731.pth b/trainer/saved_models/4digit/best_accuracy_2507111731.pth new file mode 100644 index 0000000..c9ccd69 Binary files /dev/null and b/trainer/saved_models/4digit/best_accuracy_2507111731.pth differ diff --git a/trainer/saved_models/4digit/best_norm_ED.pth b/trainer/saved_models/4digit/best_norm_ED.pth index 2703c31..8d37fa6 100644 Binary files a/trainer/saved_models/4digit/best_norm_ED.pth and b/trainer/saved_models/4digit/best_norm_ED.pth differ diff --git a/trainer/saved_models/4digit/log_dataset.txt b/trainer/saved_models/4digit/log_dataset.txt index 5e59915..e6cef1d 100644 --- a/trainer/saved_models/4digit/log_dataset.txt +++ b/trainer/saved_models/4digit/log_dataset.txt @@ -128,3 +128,138 @@ Total_batch_size: 32 = 32 dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: 4digit_train +sub-directory: /4digit_train num samples: 1000 +num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +dataset_root: all_data/4digit_valid dataset: / +sub-directory: /. num samples: 200 +-------------------------------------------------------------------------------- diff --git a/trainer/saved_models/4digit/log_train.txt b/trainer/saved_models/4digit/log_train.txt index 60777dd..c8df50e 100644 --- a/trainer/saved_models/4digit/log_train.txt +++ b/trainer/saved_models/4digit/log_train.txt @@ -5398,3 +5398,9084 @@ Ground Truth | Prediction | Confidence Score & T/F 8902 | 8902 | 0.9997 True 6026 | 6026 | 0.9999 True -------------------------------------------------------------------------------- +[5/3000] Train loss: 6.54556, Valid loss: 4.13282, Elapsed_time: 2.87853 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7993 | | 0.0000 False +6078 | | 0.0000 False +-------------------------------------------------------------------------------- +[10/3000] Train loss: 3.30745, Valid loss: 2.72563, Elapsed_time: 5.16939 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5904 | | 0.0664 False +6972 | | 0.0272 False +-------------------------------------------------------------------------------- +[15/3000] Train loss: 3.17064, Valid loss: 2.71883, Elapsed_time: 6.49437 +Current_accuracy : 0.000, Current_norm_ED : 0.0025 +Best_accuracy : 0.000, Best_norm_ED : 0.0025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7475 | | 0.0085 False +1475 | | 0.0006 False +-------------------------------------------------------------------------------- +[20/3000] Train loss: 2.96811, Valid loss: 2.89856, Elapsed_time: 8.05673 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5218 | | 0.0872 False +1195 | | 0.0747 False +-------------------------------------------------------------------------------- +[25/3000] Train loss: 3.01149, Valid loss: 2.67304, Elapsed_time: 9.37506 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9329 | | 0.0007 False +8005 | | 0.0011 False +-------------------------------------------------------------------------------- +[30/3000] Train loss: 2.88677, Valid loss: 2.63932, Elapsed_time: 10.69164 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1155 | | 0.0088 False +5013 | | 0.0114 False +-------------------------------------------------------------------------------- +[35/3000] Train loss: 2.59889, Valid loss: 2.69788, Elapsed_time: 12.63532 +Current_accuracy : 0.000, Current_norm_ED : 0.0312 +Best_accuracy : 0.000, Best_norm_ED : 0.0312 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1772 | | 0.0036 False +7435 | 7 | 0.0047 False +-------------------------------------------------------------------------------- +[40/3000] Train loss: 2.56150, Valid loss: 2.65074, Elapsed_time: 14.35885 +Current_accuracy : 0.000, Current_norm_ED : 0.0500 +Best_accuracy : 0.000, Best_norm_ED : 0.0500 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4786 | 1 | 0.0026 False +9184 | 77 | 0.0017 False +-------------------------------------------------------------------------------- +[45/3000] Train loss: 2.60548, Valid loss: 2.61616, Elapsed_time: 16.20238 +Current_accuracy : 0.000, Current_norm_ED : 0.0250 +Best_accuracy : 0.000, Best_norm_ED : 0.0500 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7731 | 71 | 0.0028 False +9300 | 7 | 0.0030 False +-------------------------------------------------------------------------------- +[50/3000] Train loss: 2.52760, Valid loss: 2.55916, Elapsed_time: 17.65588 +Current_accuracy : 0.000, Current_norm_ED : 0.1800 +Best_accuracy : 0.000, Best_norm_ED : 0.1800 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7731 | 211 | 0.0003 False +9011 | 90 | 0.0008 False +-------------------------------------------------------------------------------- +[55/3000] Train loss: 2.65629, Valid loss: 2.86045, Elapsed_time: 19.31567 +Current_accuracy : 0.000, Current_norm_ED : 0.0312 +Best_accuracy : 0.000, Best_norm_ED : 0.1800 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3854 | | 0.0085 False +3279 | | 0.0184 False +-------------------------------------------------------------------------------- +[5/3000] Train loss: 5.89852, Valid loss: 3.78872, Elapsed_time: 2.30624 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5065 | | 0.0000 False +3019 | | 0.0000 False +-------------------------------------------------------------------------------- +[10/3000] Train loss: 3.24859, Valid loss: 2.83243, Elapsed_time: 4.53929 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0439 | | 0.0145 False +3563 | | 0.1224 False +-------------------------------------------------------------------------------- +[15/3000] Train loss: 3.06139, Valid loss: 2.68709, Elapsed_time: 5.77592 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5504 | | 0.0080 False +8170 | | 0.0086 False +-------------------------------------------------------------------------------- +[20/3000] Train loss: 3.02220, Valid loss: 2.71449, Elapsed_time: 6.98269 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0839 | | 0.0288 False +6060 | | 0.0387 False +-------------------------------------------------------------------------------- +[25/3000] Train loss: 2.71295, Valid loss: 2.66412, Elapsed_time: 8.18621 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0279 | | 0.0017 False +7051 | | 0.0025 False +-------------------------------------------------------------------------------- +[30/3000] Train loss: 2.78686, Valid loss: 3.11456, Elapsed_time: 9.38612 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7278 | | 0.1379 False +9011 | | 0.1211 False +-------------------------------------------------------------------------------- +[35/3000] Train loss: 2.87797, Valid loss: 2.83211, Elapsed_time: 11.30693 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7022 | | 0.0165 False +0083 | | 0.0547 False +-------------------------------------------------------------------------------- +[40/3000] Train loss: 3.08150, Valid loss: 3.00922, Elapsed_time: 12.52560 +Current_accuracy : 0.000, Current_norm_ED : 0.1037 +Best_accuracy : 0.000, Best_norm_ED : 0.1037 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6747 | 7 | 0.0000 False +6060 | 1 | 0.0002 False +-------------------------------------------------------------------------------- +[45/3000] Train loss: 2.87592, Valid loss: 2.78133, Elapsed_time: 14.06946 +Current_accuracy : 0.000, Current_norm_ED : 0.0612 +Best_accuracy : 0.000, Best_norm_ED : 0.1037 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7747 | 2 | 0.0023 False +7730 | | 0.0049 False +-------------------------------------------------------------------------------- +[50/3000] Train loss: 2.90009, Valid loss: 2.83211, Elapsed_time: 15.34256 +Current_accuracy : 0.000, Current_norm_ED : 0.1487 +Best_accuracy : 0.000, Best_norm_ED : 0.1487 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3148 | 831 | 0.0001 False +1432 | 06 | 0.0000 False +-------------------------------------------------------------------------------- +[55/3000] Train loss: 2.73737, Valid loss: 2.73656, Elapsed_time: 16.94703 +Current_accuracy : 0.000, Current_norm_ED : 0.1300 +Best_accuracy : 0.000, Best_norm_ED : 0.1487 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5464 | 9 | 0.0010 False +5013 | 9 | 0.0010 False +-------------------------------------------------------------------------------- +[60/3000] Train loss: 2.82978, Valid loss: 2.72438, Elapsed_time: 18.19224 +Current_accuracy : 0.000, Current_norm_ED : 0.1525 +Best_accuracy : 0.000, Best_norm_ED : 0.1525 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3074 | 7889 | 0.0000 False +2521 | 89 | 0.0002 False +-------------------------------------------------------------------------------- +[65/3000] Train loss: 2.60041, Valid loss: 2.64922, Elapsed_time: 20.06882 +Current_accuracy : 0.000, Current_norm_ED : 0.1588 +Best_accuracy : 0.000, Best_norm_ED : 0.1588 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1040 | 77 | 0.0016 False +1018 | 0771 | 0.0005 False +-------------------------------------------------------------------------------- +[70/3000] Train loss: 2.56564, Valid loss: 2.85167, Elapsed_time: 21.80348 +Current_accuracy : 0.000, Current_norm_ED : 0.1200 +Best_accuracy : 0.000, Best_norm_ED : 0.1588 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3854 | 7160 | 0.0047 False +5977 | 060 | 0.0034 False +-------------------------------------------------------------------------------- +[75/3000] Train loss: 2.61797, Valid loss: 2.59000, Elapsed_time: 23.11360 +Current_accuracy : 0.000, Current_norm_ED : 0.1575 +Best_accuracy : 0.000, Best_norm_ED : 0.1588 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0439 | 716 | 0.0010 False +5013 | 716 | 0.0009 False +-------------------------------------------------------------------------------- +[80/3000] Train loss: 2.63962, Valid loss: 2.52664, Elapsed_time: 24.41800 +Current_accuracy : 0.000, Current_norm_ED : 0.1862 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0035 | 07 | 0.0005 False +5145 | 358 | 0.0006 False +-------------------------------------------------------------------------------- +[85/3000] Train loss: 2.75190, Valid loss: 3.01223, Elapsed_time: 25.94654 +Current_accuracy : 0.000, Current_norm_ED : 0.0825 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5977 | | 0.0434 False +0839 | 5 | 0.0208 False +-------------------------------------------------------------------------------- +[90/3000] Train loss: 2.80104, Valid loss: 2.65419, Elapsed_time: 27.11966 +Current_accuracy : 0.000, Current_norm_ED : 0.1450 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1849 | 95 | 0.0016 False +9725 | 95 | 0.0010 False +-------------------------------------------------------------------------------- +[95/3000] Train loss: 2.71196, Valid loss: 2.81886, Elapsed_time: 28.35888 +Current_accuracy : 0.000, Current_norm_ED : 0.1325 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0146 | 93 | 0.0098 False +8030 | 99 | 0.0030 False +-------------------------------------------------------------------------------- +[100/3000] Train loss: 2.80000, Valid loss: 2.66891, Elapsed_time: 29.95763 +Current_accuracy : 0.000, Current_norm_ED : 0.1537 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1155 | 985 | 0.0004 False +2262 | 215 | 0.0002 False +-------------------------------------------------------------------------------- +[105/3000] Train loss: 2.73079, Valid loss: 2.58154, Elapsed_time: 31.18609 +Current_accuracy : 0.000, Current_norm_ED : 0.1425 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1195 | 1705 | 0.0005 False +5904 | 005 | 0.0004 False +-------------------------------------------------------------------------------- +[110/3000] Train loss: 2.51839, Valid loss: 2.60678, Elapsed_time: 32.44234 +Current_accuracy : 0.000, Current_norm_ED : 0.1275 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5863 | 2327 | 0.0011 False +4379 | 36 | 0.0007 False +-------------------------------------------------------------------------------- +[115/3000] Train loss: 2.64087, Valid loss: 2.65503, Elapsed_time: 33.72453 +Current_accuracy : 0.000, Current_norm_ED : 0.1550 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8839 | 151 | 0.0002 False +9970 | 3646 | 0.0003 False +-------------------------------------------------------------------------------- +[120/3000] Train loss: 2.57109, Valid loss: 2.69885, Elapsed_time: 34.98213 +Current_accuracy : 0.000, Current_norm_ED : 0.1437 +Best_accuracy : 0.000, Best_norm_ED : 0.1862 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0187 | 08 | 0.0011 False +4695 | 07 | 0.0013 False +-------------------------------------------------------------------------------- +[125/3000] Train loss: 2.50666, Valid loss: 2.43969, Elapsed_time: 36.20505 +Current_accuracy : 0.000, Current_norm_ED : 0.2050 +Best_accuracy : 0.000, Best_norm_ED : 0.2050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1667 | 907 | 0.0010 False +3250 | 958 | 0.0007 False +-------------------------------------------------------------------------------- +[130/3000] Train loss: 2.50070, Valid loss: 2.50595, Elapsed_time: 38.55750 +Current_accuracy : 0.000, Current_norm_ED : 0.1450 +Best_accuracy : 0.000, Best_norm_ED : 0.2050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9436 | 920 | 0.0003 False +8785 | 2757 | 0.0006 False +-------------------------------------------------------------------------------- +[135/3000] Train loss: 2.50763, Valid loss: 2.44167, Elapsed_time: 39.85999 +Current_accuracy : 0.000, Current_norm_ED : 0.1787 +Best_accuracy : 0.000, Best_norm_ED : 0.2050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7654 | 7820 | 0.0005 False +1040 | 7880 | 0.0008 False +-------------------------------------------------------------------------------- +[140/3000] Train loss: 2.38042, Valid loss: 2.40523, Elapsed_time: 41.13626 +Current_accuracy : 0.000, Current_norm_ED : 0.1725 +Best_accuracy : 0.000, Best_norm_ED : 0.2050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2521 | 351 | 0.0004 False +6373 | 391 | 0.0024 False +-------------------------------------------------------------------------------- +[145/3000] Train loss: 2.39513, Valid loss: 2.33400, Elapsed_time: 42.45994 +Current_accuracy : 0.000, Current_norm_ED : 0.2025 +Best_accuracy : 0.000, Best_norm_ED : 0.2050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2886 | 98 | 0.0009 False +8005 | 985 | 0.0013 False +-------------------------------------------------------------------------------- +[150/3000] Train loss: 2.37062, Valid loss: 2.39093, Elapsed_time: 43.74492 +Current_accuracy : 0.000, Current_norm_ED : 0.1737 +Best_accuracy : 0.000, Best_norm_ED : 0.2050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9807 | 2552 | 0.0005 False +9922 | 2552 | 0.0005 False +-------------------------------------------------------------------------------- +[155/3000] Train loss: 2.34044, Valid loss: 2.32996, Elapsed_time: 45.01630 +Current_accuracy : 0.000, Current_norm_ED : 0.1975 +Best_accuracy : 0.000, Best_norm_ED : 0.2050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2358 | 2779 | 0.0013 False +5863 | 0561 | 0.0005 False +-------------------------------------------------------------------------------- +[160/3000] Train loss: 2.45040, Valid loss: 2.33922, Elapsed_time: 46.63451 +Current_accuracy : 0.500, Current_norm_ED : 0.2250 +Best_accuracy : 0.500, Best_norm_ED : 0.2250 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3982 | 901 | 0.0003 False +3019 | 901 | 0.0003 False +-------------------------------------------------------------------------------- +[165/3000] Train loss: 2.31655, Valid loss: 2.43956, Elapsed_time: 48.58915 +Current_accuracy : 0.000, Current_norm_ED : 0.2162 +Best_accuracy : 0.500, Best_norm_ED : 0.2250 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2262 | 274 | 0.0023 False +5013 | 209 | 0.0004 False +-------------------------------------------------------------------------------- +[170/3000] Train loss: 2.37315, Valid loss: 2.32664, Elapsed_time: 49.88467 +Current_accuracy : 0.000, Current_norm_ED : 0.1950 +Best_accuracy : 0.500, Best_norm_ED : 0.2250 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2878 | 328 | 0.0032 False +4846 | 386 | 0.0042 False +-------------------------------------------------------------------------------- +[175/3000] Train loss: 2.22100, Valid loss: 2.32009, Elapsed_time: 51.17020 +Current_accuracy : 0.000, Current_norm_ED : 0.2213 +Best_accuracy : 0.500, Best_norm_ED : 0.2250 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7730 | 955 | 0.0005 False +9490 | 954 | 0.0040 False +-------------------------------------------------------------------------------- +[180/3000] Train loss: 2.24609, Valid loss: 2.40567, Elapsed_time: 52.44177 +Current_accuracy : 0.000, Current_norm_ED : 0.1988 +Best_accuracy : 0.500, Best_norm_ED : 0.2250 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0035 | 94 | 0.0072 False +6730 | 7156 | 0.0003 False +-------------------------------------------------------------------------------- +[185/3000] Train loss: 2.20872, Valid loss: 2.19965, Elapsed_time: 53.73395 +Current_accuracy : 0.000, Current_norm_ED : 0.2650 +Best_accuracy : 0.500, Best_norm_ED : 0.2650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4374 | 314 | 0.0098 False +0132 | 611 | 0.0078 False +-------------------------------------------------------------------------------- +[190/3000] Train loss: 2.19817, Valid loss: 2.22963, Elapsed_time: 55.28374 +Current_accuracy : 0.000, Current_norm_ED : 0.2525 +Best_accuracy : 0.500, Best_norm_ED : 0.2650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2282 | 261 | 0.0131 False +3389 | 181 | 0.0007 False +-------------------------------------------------------------------------------- +[195/3000] Train loss: 2.07321, Valid loss: 2.44027, Elapsed_time: 56.82514 +Current_accuracy : 0.000, Current_norm_ED : 0.2100 +Best_accuracy : 0.500, Best_norm_ED : 0.2650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9589 | 2061 | 0.0006 False +0311 | 931 | 0.0248 False +-------------------------------------------------------------------------------- +[200/3000] Train loss: 2.17463, Valid loss: 2.24108, Elapsed_time: 58.12097 +Current_accuracy : 0.000, Current_norm_ED : 0.2075 +Best_accuracy : 0.500, Best_norm_ED : 0.2650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7022 | 7923 | 0.0089 False +5634 | 344 | 0.0198 False +-------------------------------------------------------------------------------- +[205/3000] Train loss: 2.09697, Valid loss: 2.13108, Elapsed_time: 59.39867 +Current_accuracy : 0.500, Current_norm_ED : 0.2750 +Best_accuracy : 0.500, Best_norm_ED : 0.2750 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8170 | 6776 | 0.0101 False +1082 | 353 | 0.0004 False +-------------------------------------------------------------------------------- +[210/3000] Train loss: 2.10823, Valid loss: 2.63291, Elapsed_time: 60.94735 +Current_accuracy : 0.000, Current_norm_ED : 0.1963 +Best_accuracy : 0.500, Best_norm_ED : 0.2750 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5904 | 0141 | 0.0134 False +2468 | 819 | 0.0003 False +-------------------------------------------------------------------------------- +[215/3000] Train loss: 2.16930, Valid loss: 2.00661, Elapsed_time: 62.18205 +Current_accuracy : 2.000, Current_norm_ED : 0.2762 +Best_accuracy : 2.000, Best_norm_ED : 0.2762 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2262 | 703 | 0.0260 False +8170 | 5178 | 0.0066 False +-------------------------------------------------------------------------------- +[220/3000] Train loss: 2.02125, Valid loss: 1.94572, Elapsed_time: 63.97804 +Current_accuracy : 0.500, Current_norm_ED : 0.3425 +Best_accuracy : 2.000, Best_norm_ED : 0.3425 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6747 | 232 | 0.0007 False +1475 | 232 | 0.0007 False +-------------------------------------------------------------------------------- +[225/3000] Train loss: 2.03829, Valid loss: 2.00639, Elapsed_time: 65.84241 +Current_accuracy : 0.500, Current_norm_ED : 0.3000 +Best_accuracy : 2.000, Best_norm_ED : 0.3425 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9030 | 929 | 0.0201 False +6825 | 925 | 0.0235 False +-------------------------------------------------------------------------------- +[230/3000] Train loss: 1.93499, Valid loss: 1.98069, Elapsed_time: 67.07984 +Current_accuracy : 0.500, Current_norm_ED : 0.3200 +Best_accuracy : 2.000, Best_norm_ED : 0.3425 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1667 | 1807 | 0.0156 False +7435 | 7814 | 0.0155 False +-------------------------------------------------------------------------------- +[235/3000] Train loss: 2.08139, Valid loss: 1.87415, Elapsed_time: 68.32581 +Current_accuracy : 1.500, Current_norm_ED : 0.3725 +Best_accuracy : 2.000, Best_norm_ED : 0.3725 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7993 | 209 | 0.0004 False +4677 | 167 | 0.0337 False +-------------------------------------------------------------------------------- +[240/3000] Train loss: 1.90247, Valid loss: 2.06179, Elapsed_time: 69.84640 +Current_accuracy : 0.500, Current_norm_ED : 0.2850 +Best_accuracy : 2.000, Best_norm_ED : 0.3725 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7278 | 719 | 0.0167 False +9184 | 974 | 0.0233 False +-------------------------------------------------------------------------------- +[245/3000] Train loss: 1.87580, Valid loss: 2.03537, Elapsed_time: 71.53276 +Current_accuracy : 1.500, Current_norm_ED : 0.3212 +Best_accuracy : 2.000, Best_norm_ED : 0.3725 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6462 | 8453 | 0.0332 False +7993 | 701 | 0.0004 False +-------------------------------------------------------------------------------- +[250/3000] Train loss: 1.85324, Valid loss: 2.08306, Elapsed_time: 72.81062 +Current_accuracy : 1.500, Current_norm_ED : 0.3187 +Best_accuracy : 2.000, Best_norm_ED : 0.3725 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9490 | 990 | 0.0240 False +4677 | 101 | 0.0347 False +-------------------------------------------------------------------------------- +[255/3000] Train loss: 1.87343, Valid loss: 1.91560, Elapsed_time: 74.06155 +Current_accuracy : 1.000, Current_norm_ED : 0.3412 +Best_accuracy : 2.000, Best_norm_ED : 0.3725 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0439 | 3829 | 0.0422 False +1849 | 1848 | 0.0149 False +-------------------------------------------------------------------------------- +[260/3000] Train loss: 1.78856, Valid loss: 1.80148, Elapsed_time: 75.62254 +Current_accuracy : 3.500, Current_norm_ED : 0.3850 +Best_accuracy : 3.500, Best_norm_ED : 0.3850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1849 | 180 | 0.0369 False +2070 | 7020 | 0.0181 False +-------------------------------------------------------------------------------- +[265/3000] Train loss: 1.69736, Valid loss: 1.72722, Elapsed_time: 77.47290 +Current_accuracy : 5.500, Current_norm_ED : 0.3962 +Best_accuracy : 5.500, Best_norm_ED : 0.3962 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4816 | 4816 | 0.0724 True +6711 | 4554 | 0.0003 False +-------------------------------------------------------------------------------- +[270/3000] Train loss: 1.55580, Valid loss: 1.79173, Elapsed_time: 79.33534 +Current_accuracy : 4.500, Current_norm_ED : 0.4088 +Best_accuracy : 5.500, Best_norm_ED : 0.4088 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9148 | 5148 | 0.1040 False +9922 | 954 | 0.0004 False +-------------------------------------------------------------------------------- +[275/3000] Train loss: 1.55136, Valid loss: 1.62634, Elapsed_time: 80.89569 +Current_accuracy : 9.000, Current_norm_ED : 0.4763 +Best_accuracy : 9.000, Best_norm_ED : 0.4763 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5904 | 984 | 0.1416 False +9011 | 505 | 0.0016 False +-------------------------------------------------------------------------------- +[280/3000] Train loss: 1.52223, Valid loss: 1.76612, Elapsed_time: 82.64195 +Current_accuracy : 5.500, Current_norm_ED : 0.3738 +Best_accuracy : 9.000, Best_norm_ED : 0.4763 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9154 | 0154 | 0.0837 False +8902 | 002 | 0.0707 False +-------------------------------------------------------------------------------- +[5/3000] Train loss: 7.72343, Valid loss: 3.45671, Elapsed_time: 2.26104 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7781 | | 0.0002 False +7295 | | 0.0005 False +-------------------------------------------------------------------------------- +[10/3000] Train loss: 2.98522, Valid loss: 3.00398, Elapsed_time: 4.46877 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3723 | | 0.0004 False +6919 | | 0.0000 False +-------------------------------------------------------------------------------- +[15/3000] Train loss: 2.89008, Valid loss: 2.86664, Elapsed_time: 5.67641 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5529 | | 0.0422 False +5812 | | 0.0793 False +-------------------------------------------------------------------------------- +[20/3000] Train loss: 3.00324, Valid loss: 2.67952, Elapsed_time: 6.88800 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | | 0.0076 False +9442 | | 0.0036 False +-------------------------------------------------------------------------------- +[25/3000] Train loss: 2.71760, Valid loss: 2.68095, Elapsed_time: 8.50232 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8872 | | 0.0098 False +1156 | | 0.0076 False +-------------------------------------------------------------------------------- +[30/3000] Train loss: 2.75165, Valid loss: 2.67260, Elapsed_time: 9.65924 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5239 | | 0.0008 False +9046 | | 0.0003 False +-------------------------------------------------------------------------------- +[35/3000] Train loss: 2.67240, Valid loss: 2.70873, Elapsed_time: 11.52636 +Current_accuracy : 0.000, Current_norm_ED : 0.0013 +Best_accuracy : 0.000, Best_norm_ED : 0.0013 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1346 | | 0.0110 False +0663 | | 0.0055 False +-------------------------------------------------------------------------------- +[40/3000] Train loss: 2.78391, Valid loss: 2.66339, Elapsed_time: 13.01985 +Current_accuracy : 0.000, Current_norm_ED : 0.1175 +Best_accuracy : 0.000, Best_norm_ED : 0.1175 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 11 | 0.0004 False +1737 | 11 | 0.0008 False +-------------------------------------------------------------------------------- +[45/3000] Train loss: 2.62681, Valid loss: 2.66627, Elapsed_time: 14.51443 +Current_accuracy : 0.000, Current_norm_ED : 0.0938 +Best_accuracy : 0.000, Best_norm_ED : 0.1175 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6914 | 31 | 0.0006 False +9046 | 0 | 0.0106 False +-------------------------------------------------------------------------------- +[50/3000] Train loss: 2.58961, Valid loss: 2.62098, Elapsed_time: 15.69104 +Current_accuracy : 0.000, Current_norm_ED : 0.1187 +Best_accuracy : 0.000, Best_norm_ED : 0.1187 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 1 | 0.0048 False +9139 | 38 | 0.0008 False +-------------------------------------------------------------------------------- +[55/3000] Train loss: 2.70855, Valid loss: 2.87846, Elapsed_time: 17.25361 +Current_accuracy : 0.000, Current_norm_ED : 0.1412 +Best_accuracy : 0.000, Best_norm_ED : 0.1412 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6919 | 64 | 0.0001 False +3297 | 464 | 0.0002 False +-------------------------------------------------------------------------------- +[60/3000] Train loss: 2.72490, Valid loss: 2.60710, Elapsed_time: 18.81391 +Current_accuracy : 0.000, Current_norm_ED : 0.1450 +Best_accuracy : 0.000, Best_norm_ED : 0.1450 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 5 | 0.0091 False +0567 | 25 | 0.0010 False +-------------------------------------------------------------------------------- +[65/3000] Train loss: 2.54024, Valid loss: 2.62109, Elapsed_time: 21.01090 +Current_accuracy : 0.000, Current_norm_ED : 0.1450 +Best_accuracy : 0.000, Best_norm_ED : 0.1450 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 91 | 0.0029 False +6313 | 51 | 0.0010 False +-------------------------------------------------------------------------------- +[70/3000] Train loss: 2.59774, Valid loss: 2.49689, Elapsed_time: 22.35791 +Current_accuracy : 0.000, Current_norm_ED : 0.1688 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8773 | 98 | 0.0004 False +3297 | 73 | 0.0006 False +-------------------------------------------------------------------------------- +[75/3000] Train loss: 2.60475, Valid loss: 3.46342, Elapsed_time: 23.99386 +Current_accuracy : 0.000, Current_norm_ED : 0.0725 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 40 | 0.0014 False +2742 | 350 | 0.0014 False +-------------------------------------------------------------------------------- +[80/3000] Train loss: 2.72589, Valid loss: 2.68166, Elapsed_time: 25.29963 +Current_accuracy : 0.000, Current_norm_ED : 0.1275 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4952 | 869 | 0.0004 False +9267 | 105 | 0.0004 False +-------------------------------------------------------------------------------- +[85/3000] Train loss: 2.63020, Valid loss: 2.68659, Elapsed_time: 26.57217 +Current_accuracy : 0.000, Current_norm_ED : 0.1187 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8834 | 989 | 0.0011 False +4569 | 9 | 0.0024 False +-------------------------------------------------------------------------------- +[90/3000] Train loss: 2.81178, Valid loss: 2.96463, Elapsed_time: 27.82718 +Current_accuracy : 0.000, Current_norm_ED : 0.1237 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0228 | 1889 | 0.0004 False +2665 | 189 | 0.0001 False +-------------------------------------------------------------------------------- +[95/3000] Train loss: 2.62285, Valid loss: 2.65450, Elapsed_time: 29.07497 +Current_accuracy : 0.000, Current_norm_ED : 0.1350 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7875 | 5124 | 0.0008 False +3590 | 12 | 0.0011 False +-------------------------------------------------------------------------------- +[100/3000] Train loss: 2.65847, Valid loss: 2.71183, Elapsed_time: 30.74010 +Current_accuracy : 0.000, Current_norm_ED : 0.1462 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 5384 | 0.0000 False +2321 | 567 | 0.0002 False +-------------------------------------------------------------------------------- +[105/3000] Train loss: 2.61751, Valid loss: 2.67920, Elapsed_time: 32.05070 +Current_accuracy : 0.000, Current_norm_ED : 0.1325 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3560 | 969 | 0.0023 False +3389 | 355 | 0.0006 False +-------------------------------------------------------------------------------- +[110/3000] Train loss: 2.57666, Valid loss: 2.57370, Elapsed_time: 33.34908 +Current_accuracy : 0.000, Current_norm_ED : 0.1450 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4066 | 3938 | 0.0007 False +5165 | 338 | 0.0007 False +-------------------------------------------------------------------------------- +[115/3000] Train loss: 2.63644, Valid loss: 2.62846, Elapsed_time: 34.65540 +Current_accuracy : 0.000, Current_norm_ED : 0.1400 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0702 | 350 | 0.0002 False +4638 | 869 | 0.0006 False +-------------------------------------------------------------------------------- +[120/3000] Train loss: 2.52137, Valid loss: 2.60593, Elapsed_time: 35.97115 +Current_accuracy : 0.000, Current_norm_ED : 0.1412 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8168 | 6 | 0.0037 False +9163 | 694 | 0.0009 False +-------------------------------------------------------------------------------- +[125/3000] Train loss: 2.50216, Valid loss: 2.53769, Elapsed_time: 37.24055 +Current_accuracy : 0.000, Current_norm_ED : 0.1475 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0907 | 664 | 0.0021 False +6937 | 664 | 0.0020 False +-------------------------------------------------------------------------------- +[130/3000] Train loss: 2.61556, Valid loss: 2.58665, Elapsed_time: 38.86241 +Current_accuracy : 0.000, Current_norm_ED : 0.1512 +Best_accuracy : 0.000, Best_norm_ED : 0.1688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1796 | 3669 | 0.0019 False +8290 | 669 | 0.0051 False +-------------------------------------------------------------------------------- +[135/3000] Train loss: 2.44414, Valid loss: 2.52973, Elapsed_time: 40.66560 +Current_accuracy : 0.000, Current_norm_ED : 0.1825 +Best_accuracy : 0.000, Best_norm_ED : 0.1825 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0631 | 671 | 0.0021 False +0298 | 469 | 0.0037 False +-------------------------------------------------------------------------------- +[140/3000] Train loss: 2.46754, Valid loss: 2.45600, Elapsed_time: 42.25162 +Current_accuracy : 0.000, Current_norm_ED : 0.1737 +Best_accuracy : 0.000, Best_norm_ED : 0.1825 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8907 | 081 | 0.0013 False +7822 | 13 | 0.0008 False +-------------------------------------------------------------------------------- +[145/3000] Train loss: 2.44046, Valid loss: 2.44580, Elapsed_time: 43.57420 +Current_accuracy : 0.000, Current_norm_ED : 0.1613 +Best_accuracy : 0.000, Best_norm_ED : 0.1825 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4962 | 317 | 0.0003 False +3560 | 548 | 0.0012 False +-------------------------------------------------------------------------------- +[150/3000] Train loss: 2.39012, Valid loss: 2.62250, Elapsed_time: 44.85689 +Current_accuracy : 0.000, Current_norm_ED : 0.1537 +Best_accuracy : 0.000, Best_norm_ED : 0.1825 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5890 | 5924 | 0.0006 False +0340 | 725 | 0.0011 False +-------------------------------------------------------------------------------- +[155/3000] Train loss: 2.42757, Valid loss: 2.42686, Elapsed_time: 46.12960 +Current_accuracy : 0.000, Current_norm_ED : 0.1737 +Best_accuracy : 0.000, Best_norm_ED : 0.1825 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9571 | 4692 | 0.0006 False +9267 | 6554 | 0.0003 False +-------------------------------------------------------------------------------- +[160/3000] Train loss: 2.41057, Valid loss: 2.33277, Elapsed_time: 47.72145 +Current_accuracy : 0.000, Current_norm_ED : 0.1938 +Best_accuracy : 0.000, Best_norm_ED : 0.1938 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1737 | 177 | 0.0020 False +3848 | 760 | 0.0020 False +-------------------------------------------------------------------------------- +[165/3000] Train loss: 2.43144, Valid loss: 2.41986, Elapsed_time: 49.40509 +Current_accuracy : 0.000, Current_norm_ED : 0.1762 +Best_accuracy : 0.000, Best_norm_ED : 0.1938 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4472 | 9673 | 0.0014 False +2164 | 128 | 0.0019 False +-------------------------------------------------------------------------------- +[170/3000] Train loss: 2.38364, Valid loss: 2.45180, Elapsed_time: 50.73845 +Current_accuracy : 0.000, Current_norm_ED : 0.1900 +Best_accuracy : 0.000, Best_norm_ED : 0.1938 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0944 | 860 | 0.0008 False +9335 | 5701 | 0.0005 False +-------------------------------------------------------------------------------- +[175/3000] Train loss: 2.33133, Valid loss: 2.41812, Elapsed_time: 52.03509 +Current_accuracy : 0.000, Current_norm_ED : 0.1888 +Best_accuracy : 0.000, Best_norm_ED : 0.1938 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3389 | 7290 | 0.0011 False +3590 | 209 | 0.0008 False +-------------------------------------------------------------------------------- +[180/3000] Train loss: 2.34072, Valid loss: 2.63304, Elapsed_time: 53.34241 +Current_accuracy : 0.000, Current_norm_ED : 0.1888 +Best_accuracy : 0.000, Best_norm_ED : 0.1938 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8834 | 6935 | 0.0027 False +0056 | 496 | 0.0066 False +-------------------------------------------------------------------------------- +[185/3000] Train loss: 2.33086, Valid loss: 2.32482, Elapsed_time: 54.56920 +Current_accuracy : 0.000, Current_norm_ED : 0.2025 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 104 | 0.0005 False +1730 | 179 | 0.0024 False +-------------------------------------------------------------------------------- +[190/3000] Train loss: 2.30572, Valid loss: 2.44174, Elapsed_time: 56.19846 +Current_accuracy : 0.000, Current_norm_ED : 0.1837 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6910 | 374 | 0.0004 False +6914 | 374 | 0.0004 False +-------------------------------------------------------------------------------- +[195/3000] Train loss: 2.31934, Valid loss: 2.47984, Elapsed_time: 57.83339 +Current_accuracy : 0.000, Current_norm_ED : 0.1900 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2831 | 1881 | 0.0047 False +9281 | 375 | 0.0004 False +-------------------------------------------------------------------------------- +[200/3000] Train loss: 2.22950, Valid loss: 2.19287, Elapsed_time: 59.18540 +Current_accuracy : 0.000, Current_norm_ED : 0.1950 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7066 | 386 | 0.0027 False +9438 | 6528 | 0.0031 False +-------------------------------------------------------------------------------- +[205/3000] Train loss: 2.23744, Valid loss: 2.29813, Elapsed_time: 60.46462 +Current_accuracy : 0.000, Current_norm_ED : 0.1913 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 617 | 0.0052 False +3297 | 771 | 0.0016 False +-------------------------------------------------------------------------------- +[210/3000] Train loss: 2.21357, Valid loss: 2.34766, Elapsed_time: 61.73484 +Current_accuracy : 0.000, Current_norm_ED : 0.2013 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 837 | 0.0039 False +7667 | 195 | 0.0004 False +-------------------------------------------------------------------------------- +[215/3000] Train loss: 2.15947, Valid loss: 2.39169, Elapsed_time: 63.02283 +Current_accuracy : 0.000, Current_norm_ED : 0.1575 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6914 | 1938 | 0.0004 False +1372 | 731 | 0.0074 False +-------------------------------------------------------------------------------- +[220/3000] Train loss: 2.18843, Valid loss: 2.32295, Elapsed_time: 64.41079 +Current_accuracy : 0.000, Current_norm_ED : 0.2087 +Best_accuracy : 0.000, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5427 | 547 | 0.0120 False +4685 | 4669 | 0.0020 False +-------------------------------------------------------------------------------- +[225/3000] Train loss: 2.19527, Valid loss: 2.36121, Elapsed_time: 66.35252 +Current_accuracy : 0.000, Current_norm_ED : 0.1888 +Best_accuracy : 0.000, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7764 | 3772 | 0.0007 False +9046 | 069 | 0.0026 False +-------------------------------------------------------------------------------- +[230/3000] Train loss: 2.18420, Valid loss: 2.82787, Elapsed_time: 67.71898 +Current_accuracy : 0.000, Current_norm_ED : 0.1575 +Best_accuracy : 0.000, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7810 | 128 | 0.0081 False +0593 | 8389 | 0.0005 False +-------------------------------------------------------------------------------- +[235/3000] Train loss: 2.16448, Valid loss: 2.36683, Elapsed_time: 69.07047 +Current_accuracy : 0.000, Current_norm_ED : 0.1837 +Best_accuracy : 0.000, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3848 | 366 | 0.0067 False +5627 | 693 | 0.0070 False +-------------------------------------------------------------------------------- +[240/3000] Train loss: 2.06597, Valid loss: 2.23076, Elapsed_time: 70.47959 +Current_accuracy : 0.000, Current_norm_ED : 0.2037 +Best_accuracy : 0.000, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4569 | 656 | 0.0138 False +8907 | 661 | 0.0065 False +-------------------------------------------------------------------------------- +[245/3000] Train loss: 2.21203, Valid loss: 2.38120, Elapsed_time: 71.87762 +Current_accuracy : 0.000, Current_norm_ED : 0.1925 +Best_accuracy : 0.000, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1383 | 5490 | 0.0036 False +2134 | 9578 | 0.0036 False +-------------------------------------------------------------------------------- +[250/3000] Train loss: 2.03239, Valid loss: 2.31922, Elapsed_time: 73.62105 +Current_accuracy : 0.500, Current_norm_ED : 0.1950 +Best_accuracy : 0.500, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6191 | 6191 | 0.0254 True +1982 | 3112 | 0.0008 False +-------------------------------------------------------------------------------- +[255/3000] Train loss: 2.03586, Valid loss: 2.66652, Elapsed_time: 75.19106 +Current_accuracy : 0.000, Current_norm_ED : 0.1550 +Best_accuracy : 0.500, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5890 | 8679 | 0.0008 False +6191 | 8282 | 0.0171 False +-------------------------------------------------------------------------------- +[260/3000] Train loss: 2.09123, Valid loss: 2.66866, Elapsed_time: 76.76364 +Current_accuracy : 0.000, Current_norm_ED : 0.1750 +Best_accuracy : 0.500, Best_norm_ED : 0.2087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8575 | 532 | 0.0004 False +9267 | 537 | 0.0004 False +-------------------------------------------------------------------------------- +[265/3000] Train loss: 2.09372, Valid loss: 2.07765, Elapsed_time: 78.05457 +Current_accuracy : 0.000, Current_norm_ED : 0.2425 +Best_accuracy : 0.500, Best_norm_ED : 0.2425 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1572 | 415 | 0.0005 False +9438 | 4570 | 0.0184 False +-------------------------------------------------------------------------------- +[270/3000] Train loss: 2.03742, Valid loss: 2.22717, Elapsed_time: 79.66751 +Current_accuracy : 0.500, Current_norm_ED : 0.2350 +Best_accuracy : 0.500, Best_norm_ED : 0.2425 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9220 | 1052 | 0.0003 False +3361 | 1018 | 0.0003 False +-------------------------------------------------------------------------------- +[275/3000] Train loss: 2.00769, Valid loss: 2.34575, Elapsed_time: 81.01530 +Current_accuracy : 0.000, Current_norm_ED : 0.2013 +Best_accuracy : 0.500, Best_norm_ED : 0.2425 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3361 | 338 | 0.0011 False +8907 | 6881 | 0.0110 False +-------------------------------------------------------------------------------- +[280/3000] Train loss: 1.86701, Valid loss: 2.06581, Elapsed_time: 82.34913 +Current_accuracy : 0.500, Current_norm_ED : 0.2650 +Best_accuracy : 0.500, Best_norm_ED : 0.2650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9267 | 371 | 0.0009 False +7188 | 7168 | 0.0075 False +-------------------------------------------------------------------------------- +[285/3000] Train loss: 1.92626, Valid loss: 1.96098, Elapsed_time: 83.92486 +Current_accuracy : 1.000, Current_norm_ED : 0.2737 +Best_accuracy : 1.000, Best_norm_ED : 0.2737 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 9175 | 0.0081 False +4923 | 3053 | 0.0004 False +-------------------------------------------------------------------------------- +[290/3000] Train loss: 1.92956, Valid loss: 2.23082, Elapsed_time: 86.15154 +Current_accuracy : 0.500, Current_norm_ED : 0.2112 +Best_accuracy : 1.000, Best_norm_ED : 0.2737 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4222 | 5232 | 0.0140 False +3361 | 2541 | 0.0006 False +-------------------------------------------------------------------------------- +[295/3000] Train loss: 1.88336, Valid loss: 2.57812, Elapsed_time: 87.47658 +Current_accuracy : 0.000, Current_norm_ED : 0.1950 +Best_accuracy : 1.000, Best_norm_ED : 0.2737 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9753 | 0.0004 False +6914 | 9753 | 0.0005 False +-------------------------------------------------------------------------------- +[300/3000] Train loss: 1.82066, Valid loss: 2.25651, Elapsed_time: 88.82665 +Current_accuracy : 0.000, Current_norm_ED : 0.2238 +Best_accuracy : 1.000, Best_norm_ED : 0.2737 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 717 | 0.0005 False +5890 | 717 | 0.0005 False +-------------------------------------------------------------------------------- +[305/3000] Train loss: 1.89923, Valid loss: 2.02568, Elapsed_time: 90.13362 +Current_accuracy : 0.500, Current_norm_ED : 0.2712 +Best_accuracy : 1.000, Best_norm_ED : 0.2737 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8575 | 4978 | 0.0002 False +7209 | 7138 | 0.0087 False +-------------------------------------------------------------------------------- +[310/3000] Train loss: 1.83234, Valid loss: 1.95524, Elapsed_time: 91.46310 +Current_accuracy : 1.000, Current_norm_ED : 0.2900 +Best_accuracy : 1.000, Best_norm_ED : 0.2900 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6350 | 2572 | 0.0006 False +2433 | 2454 | 0.0401 False +-------------------------------------------------------------------------------- +[315/3000] Train loss: 1.91638, Valid loss: 2.01314, Elapsed_time: 93.00968 +Current_accuracy : 2.500, Current_norm_ED : 0.2825 +Best_accuracy : 2.500, Best_norm_ED : 0.2900 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2433 | 7553 | 0.0083 False +9163 | 8283 | 0.0112 False +-------------------------------------------------------------------------------- +[320/3000] Train loss: 1.85269, Valid loss: 1.85191, Elapsed_time: 95.02755 +Current_accuracy : 1.000, Current_norm_ED : 0.3162 +Best_accuracy : 2.500, Best_norm_ED : 0.3162 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 186 | 0.0113 False +0273 | 209 | 0.0005 False +-------------------------------------------------------------------------------- +[325/3000] Train loss: 1.62757, Valid loss: 1.83393, Elapsed_time: 96.72839 +Current_accuracy : 1.500, Current_norm_ED : 0.3588 +Best_accuracy : 2.500, Best_norm_ED : 0.3588 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 203 | 0.0011 False +9030 | 82 | 0.0093 False +-------------------------------------------------------------------------------- +[330/3000] Train loss: 1.68710, Valid loss: 1.78428, Elapsed_time: 98.33104 +Current_accuracy : 1.000, Current_norm_ED : 0.3400 +Best_accuracy : 2.500, Best_norm_ED : 0.3588 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9033 | 0852 | 0.0300 False +8262 | 0282 | 0.0240 False +-------------------------------------------------------------------------------- +[335/3000] Train loss: 1.81451, Valid loss: 1.78505, Elapsed_time: 99.65574 +Current_accuracy : 2.000, Current_norm_ED : 0.3463 +Best_accuracy : 2.500, Best_norm_ED : 0.3588 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8461 | 547 | 0.0004 False +6350 | 567 | 0.0004 False +-------------------------------------------------------------------------------- +[340/3000] Train loss: 1.66467, Valid loss: 1.73194, Elapsed_time: 100.94929 +Current_accuracy : 4.500, Current_norm_ED : 0.3850 +Best_accuracy : 4.500, Best_norm_ED : 0.3850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4317 | 4371 | 0.0474 False +6191 | 0161 | 0.0223 False +-------------------------------------------------------------------------------- +[345/3000] Train loss: 1.56648, Valid loss: 2.02030, Elapsed_time: 102.81320 +Current_accuracy : 0.500, Current_norm_ED : 0.3055 +Best_accuracy : 4.500, Best_norm_ED : 0.3850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7742 | 142 | 0.0111 False +1407 | 8968 | 0.0006 False +-------------------------------------------------------------------------------- +[350/3000] Train loss: 1.65864, Valid loss: 1.81921, Elapsed_time: 104.11242 +Current_accuracy : 2.000, Current_norm_ED : 0.3312 +Best_accuracy : 4.500, Best_norm_ED : 0.3850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0907 | 901 | 0.0188 False +3723 | 151 | 0.0005 False +-------------------------------------------------------------------------------- +[355/3000] Train loss: 1.71171, Valid loss: 1.78811, Elapsed_time: 105.76348 +Current_accuracy : 1.000, Current_norm_ED : 0.3650 +Best_accuracy : 4.500, Best_norm_ED : 0.3850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7682 | 1982 | 0.0340 False +4731 | 477 | 0.0521 False +-------------------------------------------------------------------------------- +[360/3000] Train loss: 1.82049, Valid loss: 1.79633, Elapsed_time: 107.59375 +Current_accuracy : 1.000, Current_norm_ED : 0.3450 +Best_accuracy : 4.500, Best_norm_ED : 0.3850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8773 | 51 | 0.0006 False +8907 | 6881 | 0.0110 False +-------------------------------------------------------------------------------- +[365/3000] Train loss: 1.62458, Valid loss: 2.05338, Elapsed_time: 108.91755 +Current_accuracy : 0.500, Current_norm_ED : 0.3100 +Best_accuracy : 4.500, Best_norm_ED : 0.3850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5529 | 528 | 0.0561 False +8575 | 242 | 0.0003 False +-------------------------------------------------------------------------------- +[370/3000] Train loss: 1.56044, Valid loss: 1.62157, Elapsed_time: 110.25467 +Current_accuracy : 2.500, Current_norm_ED : 0.4263 +Best_accuracy : 4.500, Best_norm_ED : 0.4263 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7253 | 1253 | 0.0818 False +5165 | 5785 | 0.0739 False +-------------------------------------------------------------------------------- +[375/3000] Train loss: 1.65258, Valid loss: 1.64718, Elapsed_time: 111.81606 +Current_accuracy : 6.500, Current_norm_ED : 0.4155 +Best_accuracy : 6.500, Best_norm_ED : 0.4263 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4317 | 431 | 0.1425 False +2164 | 264 | 0.1137 False +-------------------------------------------------------------------------------- +[380/3000] Train loss: 1.34406, Valid loss: 1.61496, Elapsed_time: 113.39649 +Current_accuracy : 4.000, Current_norm_ED : 0.4225 +Best_accuracy : 6.500, Best_norm_ED : 0.4263 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8168 | 676 | 0.1146 False +2134 | 24 | 0.0844 False +-------------------------------------------------------------------------------- +[385/3000] Train loss: 1.37585, Valid loss: 1.78571, Elapsed_time: 114.93345 +Current_accuracy : 3.500, Current_norm_ED : 0.3825 +Best_accuracy : 6.500, Best_norm_ED : 0.4263 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7695 | 1005 | 0.0520 False +0702 | 8043 | 0.0004 False +-------------------------------------------------------------------------------- +[390/3000] Train loss: 1.45905, Valid loss: 1.51026, Elapsed_time: 116.20391 +Current_accuracy : 10.500, Current_norm_ED : 0.4662 +Best_accuracy : 10.500, Best_norm_ED : 0.4662 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3438 | 3438 | 0.2501 True +2164 | 2164 | 0.0876 True +-------------------------------------------------------------------------------- +[395/3000] Train loss: 1.31515, Valid loss: 1.61913, Elapsed_time: 117.99348 +Current_accuracy : 9.000, Current_norm_ED : 0.4450 +Best_accuracy : 10.500, Best_norm_ED : 0.4662 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7803 | 7693 | 0.0598 False +5415 | 118 | 0.0025 False +-------------------------------------------------------------------------------- +[400/3000] Train loss: 1.40836, Valid loss: 1.54248, Elapsed_time: 119.29048 +Current_accuracy : 6.500, Current_norm_ED : 0.4412 +Best_accuracy : 10.500, Best_norm_ED : 0.4662 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0944 | 044 | 0.0355 False +7810 | 1070 | 0.0891 False +-------------------------------------------------------------------------------- +[405/3000] Train loss: 1.23726, Valid loss: 1.98862, Elapsed_time: 120.59429 +Current_accuracy : 2.500, Current_norm_ED : 0.3862 +Best_accuracy : 10.500, Best_norm_ED : 0.4662 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 351 | 0.0009 False +6728 | 351 | 0.0009 False +-------------------------------------------------------------------------------- +[410/3000] Train loss: 1.35224, Valid loss: 1.56127, Elapsed_time: 121.86782 +Current_accuracy : 13.000, Current_norm_ED : 0.4825 +Best_accuracy : 13.000, Best_norm_ED : 0.4825 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8907 | 687 | 0.2020 False +0034 | 277 | 0.0007 False +-------------------------------------------------------------------------------- +[415/3000] Train loss: 1.32469, Valid loss: 1.69613, Elapsed_time: 123.73596 +Current_accuracy : 12.500, Current_norm_ED : 0.4680 +Best_accuracy : 13.000, Best_norm_ED : 0.4825 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2239 | 4141 | 0.0009 False +5812 | 4141 | 0.0009 False +-------------------------------------------------------------------------------- +[420/3000] Train loss: 1.22123, Valid loss: 1.40811, Elapsed_time: 125.27317 +Current_accuracy : 12.000, Current_norm_ED : 0.5065 +Best_accuracy : 13.000, Best_norm_ED : 0.5065 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 867 | 0.0494 False +0056 | 0956 | 0.1325 False +-------------------------------------------------------------------------------- +[425/3000] Train loss: 1.25972, Valid loss: 1.29496, Elapsed_time: 126.79128 +Current_accuracy : 17.000, Current_norm_ED : 0.5112 +Best_accuracy : 17.000, Best_norm_ED : 0.5112 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 887 | 0.0718 False +8243 | 6243 | 0.3765 False +-------------------------------------------------------------------------------- +[430/3000] Train loss: 1.25047, Valid loss: 1.34470, Elapsed_time: 128.65355 +Current_accuracy : 14.500, Current_norm_ED : 0.5215 +Best_accuracy : 17.000, Best_norm_ED : 0.5215 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9571 | 051 | 0.1910 False +3937 | 3037 | 0.4168 False +-------------------------------------------------------------------------------- +[435/3000] Train loss: 1.13637, Valid loss: 1.68425, Elapsed_time: 130.23492 +Current_accuracy : 7.500, Current_norm_ED : 0.4437 +Best_accuracy : 17.000, Best_norm_ED : 0.5215 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9589 | 6568 | 0.2102 False +3409 | 3468 | 0.1937 False +-------------------------------------------------------------------------------- +[440/3000] Train loss: 1.43279, Valid loss: 1.27608, Elapsed_time: 131.51033 +Current_accuracy : 20.000, Current_norm_ED : 0.5350 +Best_accuracy : 20.000, Best_norm_ED : 0.5350 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.0674 True +3361 | 803 | 0.0002 False +-------------------------------------------------------------------------------- +[445/3000] Train loss: 1.10981, Valid loss: 1.38840, Elapsed_time: 133.31971 +Current_accuracy : 11.500, Current_norm_ED : 0.4925 +Best_accuracy : 20.000, Best_norm_ED : 0.5350 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1407 | 4192 | 0.0004 False +4236 | 4172 | 0.0004 False +-------------------------------------------------------------------------------- +[450/3000] Train loss: 1.32485, Valid loss: 1.26049, Elapsed_time: 134.89305 +Current_accuracy : 19.000, Current_norm_ED : 0.5353 +Best_accuracy : 20.000, Best_norm_ED : 0.5353 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9163 | 9163 | 0.1788 True +1372 | 1372 | 0.3555 True +-------------------------------------------------------------------------------- +[455/3000] Train loss: 1.10310, Valid loss: 1.41717, Elapsed_time: 136.52941 +Current_accuracy : 23.000, Current_norm_ED : 0.5443 +Best_accuracy : 23.000, Best_norm_ED : 0.5443 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9139 | 0130 | 0.1959 False +4472 | 442 | 0.0741 False +-------------------------------------------------------------------------------- +[460/3000] Train loss: 1.30423, Valid loss: 2.03205, Elapsed_time: 138.43589 +Current_accuracy : 1.500, Current_norm_ED : 0.3837 +Best_accuracy : 23.000, Best_norm_ED : 0.5443 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5529 | 620 | 0.0974 False +8461 | 4143 | 0.0006 False +-------------------------------------------------------------------------------- +[465/3000] Train loss: 1.09486, Valid loss: 2.00499, Elapsed_time: 140.19506 +Current_accuracy : 7.000, Current_norm_ED : 0.4450 +Best_accuracy : 23.000, Best_norm_ED : 0.5443 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8575 | 52 | 0.0008 False +7010 | 552 | 0.0008 False +-------------------------------------------------------------------------------- +[470/3000] Train loss: 1.23920, Valid loss: 1.40243, Elapsed_time: 141.40469 +Current_accuracy : 17.500, Current_norm_ED : 0.5330 +Best_accuracy : 23.000, Best_norm_ED : 0.5443 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6077 | 607 | 0.0732 False +9512 | 157 | 0.0006 False +-------------------------------------------------------------------------------- +[475/3000] Train loss: 1.18572, Valid loss: 1.32656, Elapsed_time: 142.64465 +Current_accuracy : 17.500, Current_norm_ED : 0.5353 +Best_accuracy : 23.000, Best_norm_ED : 0.5443 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 1914 | 0.3357 True +3389 | 39 | 0.1015 False +-------------------------------------------------------------------------------- +[480/3000] Train loss: 0.97739, Valid loss: 1.42873, Elapsed_time: 144.15594 +Current_accuracy : 17.500, Current_norm_ED : 0.5410 +Best_accuracy : 23.000, Best_norm_ED : 0.5443 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9541 | 4732 | 0.0007 False +1516 | 4732 | 0.0007 False +-------------------------------------------------------------------------------- +[485/3000] Train loss: 1.00599, Valid loss: 1.17322, Elapsed_time: 145.43992 +Current_accuracy : 33.000, Current_norm_ED : 0.6038 +Best_accuracy : 33.000, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 4405 | 0.0869 True +5468 | 5468 | 0.1174 True +-------------------------------------------------------------------------------- +[490/3000] Train loss: 1.06319, Valid loss: 1.43209, Elapsed_time: 147.32355 +Current_accuracy : 17.500, Current_norm_ED : 0.5252 +Best_accuracy : 33.000, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7110 | 7119 | 0.1851 False +4459 | 4449 | 0.0860 False +-------------------------------------------------------------------------------- +[495/3000] Train loss: 0.95276, Valid loss: 1.47198, Elapsed_time: 148.59265 +Current_accuracy : 12.500, Current_norm_ED : 0.4990 +Best_accuracy : 33.000, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7453 | 353 | 0.0009 False +1796 | 16 | 0.2492 False +-------------------------------------------------------------------------------- +[500/3000] Train loss: 1.22459, Valid loss: 1.30886, Elapsed_time: 149.84777 +Current_accuracy : 30.500, Current_norm_ED : 0.5852 +Best_accuracy : 33.000, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6910 | 5135 | 0.0005 False +3438 | 3438 | 0.5494 True +-------------------------------------------------------------------------------- +[505/3000] Train loss: 0.94392, Valid loss: 1.21633, Elapsed_time: 151.11153 +Current_accuracy : 23.000, Current_norm_ED : 0.5503 +Best_accuracy : 33.000, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2903 | 0.2001 False +8290 | 829 | 0.3095 False +-------------------------------------------------------------------------------- +[510/3000] Train loss: 1.12947, Valid loss: 1.15321, Elapsed_time: 152.41978 +Current_accuracy : 33.500, Current_norm_ED : 0.5942 +Best_accuracy : 33.500, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1407 | 105 | 0.0006 False +7803 | 7893 | 0.3744 False +-------------------------------------------------------------------------------- +[515/3000] Train loss: 1.01398, Valid loss: 1.41653, Elapsed_time: 154.34032 +Current_accuracy : 18.000, Current_norm_ED : 0.5288 +Best_accuracy : 33.500, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6914 | 3250 | 0.0003 False +3848 | 3848 | 0.3348 True +-------------------------------------------------------------------------------- +[520/3000] Train loss: 1.01143, Valid loss: 1.34545, Elapsed_time: 155.65581 +Current_accuracy : 22.000, Current_norm_ED : 0.5413 +Best_accuracy : 33.500, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 951 | 0.3451 False +0975 | 0975 | 0.1522 True +-------------------------------------------------------------------------------- +[525/3000] Train loss: 1.09275, Valid loss: 1.78454, Elapsed_time: 156.90190 +Current_accuracy : 8.500, Current_norm_ED : 0.4627 +Best_accuracy : 33.500, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6217 | 6217 | 0.3240 True +6191 | 0101 | 0.4186 False +-------------------------------------------------------------------------------- +[530/3000] Train loss: 1.02045, Valid loss: 1.11929, Elapsed_time: 158.14754 +Current_accuracy : 33.000, Current_norm_ED : 0.5840 +Best_accuracy : 33.500, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6910 | 1018 | 0.0005 False +6858 | 658 | 0.2492 False +-------------------------------------------------------------------------------- +[535/3000] Train loss: 0.90010, Valid loss: 2.20681, Elapsed_time: 159.43703 +Current_accuracy : 14.500, Current_norm_ED : 0.4980 +Best_accuracy : 33.500, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3937 | 3537 | 0.3575 False +7667 | 577 | 0.0003 False +-------------------------------------------------------------------------------- +[540/3000] Train loss: 0.88213, Valid loss: 1.35187, Elapsed_time: 160.71867 +Current_accuracy : 25.500, Current_norm_ED : 0.5815 +Best_accuracy : 33.500, Best_norm_ED : 0.6038 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9541 | 8951 | 0.0003 False +4217 | 4217 | 0.7153 True +-------------------------------------------------------------------------------- +[545/3000] Train loss: 0.87690, Valid loss: 1.10332, Elapsed_time: 162.28487 +Current_accuracy : 39.500, Current_norm_ED : 0.6342 +Best_accuracy : 39.500, Best_norm_ED : 0.6342 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 854 | 0.0008 False +2598 | 2598 | 0.5898 True +-------------------------------------------------------------------------------- +[550/3000] Train loss: 0.85940, Valid loss: 1.20629, Elapsed_time: 164.19578 +Current_accuracy : 28.000, Current_norm_ED : 0.5802 +Best_accuracy : 39.500, Best_norm_ED : 0.6342 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.6807 True +9511 | 954 | 0.3034 False +-------------------------------------------------------------------------------- +[555/3000] Train loss: 1.14862, Valid loss: 1.11090, Elapsed_time: 165.46293 +Current_accuracy : 45.000, Current_norm_ED : 0.6417 +Best_accuracy : 45.000, Best_norm_ED : 0.6417 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3438 | 3438 | 0.6836 True +9700 | 8142 | 0.0003 False +-------------------------------------------------------------------------------- +[560/3000] Train loss: 0.95210, Valid loss: 1.13388, Elapsed_time: 167.30270 +Current_accuracy : 38.500, Current_norm_ED : 0.6250 +Best_accuracy : 45.000, Best_norm_ED : 0.6417 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 293 | 0.0005 False +7875 | 7875 | 0.7923 True +-------------------------------------------------------------------------------- +[565/3000] Train loss: 0.79712, Valid loss: 1.06798, Elapsed_time: 168.55086 +Current_accuracy : 49.500, Current_norm_ED : 0.6445 +Best_accuracy : 49.500, Best_norm_ED : 0.6445 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7695 | 7695 | 0.3619 True +6313 | 6313 | 0.8318 True +-------------------------------------------------------------------------------- +[570/3000] Train loss: 0.89942, Valid loss: 1.16220, Elapsed_time: 170.37031 +Current_accuracy : 37.000, Current_norm_ED : 0.6082 +Best_accuracy : 49.500, Best_norm_ED : 0.6445 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 3558 | 0.0002 False +5165 | 5165 | 0.9340 True +-------------------------------------------------------------------------------- +[575/3000] Train loss: 0.95690, Valid loss: 1.03331, Elapsed_time: 171.60912 +Current_accuracy : 50.000, Current_norm_ED : 0.6680 +Best_accuracy : 50.000, Best_norm_ED : 0.6680 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7682 | 7682 | 0.8559 True +7209 | 7209 | 0.2193 True +-------------------------------------------------------------------------------- +[580/3000] Train loss: 0.82114, Valid loss: 1.02915, Elapsed_time: 174.39812 +Current_accuracy : 54.500, Current_norm_ED : 0.6878 +Best_accuracy : 54.500, Best_norm_ED : 0.6878 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8168 | 8168 | 0.6837 True +8794 | 572 | 0.0014 False +-------------------------------------------------------------------------------- +[585/3000] Train loss: 0.94104, Valid loss: 1.21213, Elapsed_time: 176.28889 +Current_accuracy : 38.500, Current_norm_ED : 0.6190 +Best_accuracy : 54.500, Best_norm_ED : 0.6878 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6914 | 314 | 0.0004 False +7188 | 718 | 0.5794 False +-------------------------------------------------------------------------------- +[590/3000] Train loss: 0.99603, Valid loss: 1.02012, Elapsed_time: 177.59106 +Current_accuracy : 51.500, Current_norm_ED : 0.6778 +Best_accuracy : 54.500, Best_norm_ED : 0.6878 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6919 | 6919 | 0.5424 True +1156 | 156 | 0.8061 False +-------------------------------------------------------------------------------- +[595/3000] Train loss: 0.97328, Valid loss: 1.22576, Elapsed_time: 178.85995 +Current_accuracy : 36.500, Current_norm_ED : 0.6115 +Best_accuracy : 54.500, Best_norm_ED : 0.6878 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1141 | 141 | 0.2765 False +0702 | 4941 | 0.0004 False +-------------------------------------------------------------------------------- +[600/3000] Train loss: 0.77859, Valid loss: 1.05627, Elapsed_time: 180.13580 +Current_accuracy : 49.500, Current_norm_ED : 0.6565 +Best_accuracy : 54.500, Best_norm_ED : 0.6878 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 0713 | 0.4866 True +3409 | 3409 | 0.3760 True +-------------------------------------------------------------------------------- +[605/3000] Train loss: 0.76901, Valid loss: 1.06591, Elapsed_time: 181.37041 +Current_accuracy : 51.000, Current_norm_ED : 0.6653 +Best_accuracy : 54.500, Best_norm_ED : 0.6878 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0034 | 175 | 0.0005 False +3450 | 3450 | 0.9301 True +-------------------------------------------------------------------------------- +[610/3000] Train loss: 0.92663, Valid loss: 1.09884, Elapsed_time: 182.96753 +Current_accuracy : 41.500, Current_norm_ED : 0.6480 +Best_accuracy : 54.500, Best_norm_ED : 0.6878 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 472 | 0.0007 False +4317 | 4317 | 0.9179 True +-------------------------------------------------------------------------------- +[615/3000] Train loss: 0.89525, Valid loss: 0.94309, Elapsed_time: 184.23048 +Current_accuracy : 57.500, Current_norm_ED : 0.7030 +Best_accuracy : 57.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8834 | 8834 | 0.2969 True +7803 | 7803 | 0.8729 True +-------------------------------------------------------------------------------- +[620/3000] Train loss: 0.75563, Valid loss: 1.01859, Elapsed_time: 186.06518 +Current_accuracy : 48.000, Current_norm_ED : 0.6403 +Best_accuracy : 57.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5888 | 588 | 0.3162 False +1914 | 1914 | 0.8793 True +-------------------------------------------------------------------------------- +[625/3000] Train loss: 0.86517, Valid loss: 1.04132, Elapsed_time: 187.31558 +Current_accuracy : 49.500, Current_norm_ED : 0.6630 +Best_accuracy : 57.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 8371 | 0.0004 False +1960 | 1960 | 0.7918 True +-------------------------------------------------------------------------------- +[630/3000] Train loss: 0.72836, Valid loss: 0.96759, Elapsed_time: 188.55298 +Current_accuracy : 59.500, Current_norm_ED : 0.6932 +Best_accuracy : 59.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4217 | 4217 | 0.8589 True +4472 | 4472 | 0.2245 True +-------------------------------------------------------------------------------- +[635/3000] Train loss: 0.84646, Valid loss: 0.95912, Elapsed_time: 190.13279 +Current_accuracy : 56.500, Current_norm_ED : 0.6605 +Best_accuracy : 59.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2321 | 2321 | 0.8994 True +2598 | 2598 | 0.8697 True +-------------------------------------------------------------------------------- +[640/3000] Train loss: 0.85155, Valid loss: 0.99573, Elapsed_time: 191.73132 +Current_accuracy : 55.500, Current_norm_ED : 0.6653 +Best_accuracy : 59.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0663 | 324 | 0.0009 False +3560 | 3560 | 0.8132 True +-------------------------------------------------------------------------------- +[645/3000] Train loss: 0.77532, Valid loss: 0.91285, Elapsed_time: 193.04179 +Current_accuracy : 56.000, Current_norm_ED : 0.6643 +Best_accuracy : 59.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6617 | 617 | 0.7654 False +8744 | 3213 | 0.0003 False +-------------------------------------------------------------------------------- +[650/3000] Train loss: 0.78958, Valid loss: 0.99694, Elapsed_time: 194.27861 +Current_accuracy : 55.000, Current_norm_ED : 0.6705 +Best_accuracy : 59.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 1770 | 0.0002 False +6852 | 172 | 0.0004 False +-------------------------------------------------------------------------------- +[655/3000] Train loss: 0.68616, Valid loss: 1.42889, Elapsed_time: 195.53191 +Current_accuracy : 32.000, Current_norm_ED : 0.5782 +Best_accuracy : 59.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5538 | 5536 | 0.6403 False +6914 | 304 | 0.0005 False +-------------------------------------------------------------------------------- +[660/3000] Train loss: 0.90447, Valid loss: 0.95545, Elapsed_time: 196.81923 +Current_accuracy : 58.500, Current_norm_ED : 0.6720 +Best_accuracy : 59.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2894 | 8249 | 0.0004 False +2665 | 2665 | 0.9587 True +-------------------------------------------------------------------------------- +[665/3000] Train loss: 0.74736, Valid loss: 0.95238, Elapsed_time: 198.09932 +Current_accuracy : 60.000, Current_norm_ED : 0.6955 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7209 | 7209 | 0.7937 True +7803 | 7803 | 0.9183 True +-------------------------------------------------------------------------------- +[670/3000] Train loss: 0.86674, Valid loss: 1.05538, Elapsed_time: 199.65314 +Current_accuracy : 54.000, Current_norm_ED : 0.6605 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4287 | 4287 | 0.9690 True +7667 | 2937 | 0.0002 False +-------------------------------------------------------------------------------- +[675/3000] Train loss: 0.71892, Valid loss: 1.03587, Elapsed_time: 201.25212 +Current_accuracy : 55.500, Current_norm_ED : 0.6793 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.8890 True +6620 | 3543 | 0.0004 False +-------------------------------------------------------------------------------- +[680/3000] Train loss: 0.92058, Valid loss: 1.04688, Elapsed_time: 202.50293 +Current_accuracy : 47.500, Current_norm_ED : 0.6747 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5812 | 974 | 0.0004 False +0627 | 0627 | 0.8770 True +-------------------------------------------------------------------------------- +[685/3000] Train loss: 0.75253, Valid loss: 1.01671, Elapsed_time: 203.78449 +Current_accuracy : 58.500, Current_norm_ED : 0.6855 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2665 | 0.9622 True +6852 | 3552 | 0.0004 False +-------------------------------------------------------------------------------- +[690/3000] Train loss: 0.70807, Valid loss: 0.96962, Elapsed_time: 205.59189 +Current_accuracy : 58.000, Current_norm_ED : 0.6850 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7010 | 171 | 0.0006 False +8488 | 8488 | 0.0500 True +-------------------------------------------------------------------------------- +[695/3000] Train loss: 0.93350, Valid loss: 0.94973, Elapsed_time: 206.87916 +Current_accuracy : 58.500, Current_norm_ED : 0.6690 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4222 | 42222 | 0.1628 False +9715 | 212 | 0.0007 False +-------------------------------------------------------------------------------- +[700/3000] Train loss: 0.68308, Valid loss: 0.94538, Elapsed_time: 208.11272 +Current_accuracy : 60.000, Current_norm_ED : 0.6843 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 2164 | 0.9604 True +9700 | 9250 | 0.0009 False +-------------------------------------------------------------------------------- +[705/3000] Train loss: 0.84158, Valid loss: 0.99776, Elapsed_time: 209.67789 +Current_accuracy : 58.000, Current_norm_ED : 0.6855 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4317 | 4317 | 0.9563 True +1960 | 1960 | 0.7522 True +-------------------------------------------------------------------------------- +[710/3000] Train loss: 0.66468, Valid loss: 1.98613, Elapsed_time: 211.03903 +Current_accuracy : 20.000, Current_norm_ED : 0.5230 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8575 | 3137 | 0.0005 False +9139 | 9139 | 0.7988 True +-------------------------------------------------------------------------------- +[715/3000] Train loss: 0.86661, Valid loss: 1.21531, Elapsed_time: 212.33072 +Current_accuracy : 51.500, Current_norm_ED : 0.6565 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6693 | 3057 | 0.0004 False +6914 | 3757 | 0.0004 False +-------------------------------------------------------------------------------- +[720/3000] Train loss: 0.76243, Valid loss: 0.99282, Elapsed_time: 213.58431 +Current_accuracy : 59.000, Current_norm_ED : 0.6753 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3032 | 3032 | 0.8980 True +8834 | 834 | 0.8623 False +-------------------------------------------------------------------------------- +[725/3000] Train loss: 0.80214, Valid loss: 1.21624, Elapsed_time: 214.81281 +Current_accuracy : 43.000, Current_norm_ED : 0.6310 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4569 | 4569 | 0.9462 True +9885 | 9885 | 0.8244 True +-------------------------------------------------------------------------------- +[730/3000] Train loss: 0.83463, Valid loss: 1.14470, Elapsed_time: 216.01997 +Current_accuracy : 34.000, Current_norm_ED : 0.6257 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0034 | 3553 | 0.0002 False +8405 | 6405 | 0.8951 False +-------------------------------------------------------------------------------- +[735/3000] Train loss: 0.96558, Valid loss: 1.63365, Elapsed_time: 217.22753 +Current_accuracy : 22.000, Current_norm_ED : 0.5490 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6350 | 3574 | 0.0003 False +4066 | 066 | 0.4513 False +-------------------------------------------------------------------------------- +[740/3000] Train loss: 0.83249, Valid loss: 0.97854, Elapsed_time: 218.82265 +Current_accuracy : 57.000, Current_norm_ED : 0.6767 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 1914 | 0.9305 True +1516 | 4569 | 0.0003 False +-------------------------------------------------------------------------------- +[745/3000] Train loss: 0.76616, Valid loss: 0.94873, Elapsed_time: 220.12198 +Current_accuracy : 59.000, Current_norm_ED : 0.6817 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 255 | 0.0003 False +9163 | 9163 | 0.9833 True +-------------------------------------------------------------------------------- +[750/3000] Train loss: 0.84009, Valid loss: 1.01728, Elapsed_time: 221.40287 +Current_accuracy : 59.500, Current_norm_ED : 0.6793 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9571 | 9571 | 0.9559 True +1982 | 33 | 0.0007 False +-------------------------------------------------------------------------------- +[755/3000] Train loss: 0.76612, Valid loss: 0.95726, Elapsed_time: 222.69251 +Current_accuracy : 59.000, Current_norm_ED : 0.6865 +Best_accuracy : 60.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8834 | 834 | 0.8809 False +2433 | 243 | 0.5222 False +-------------------------------------------------------------------------------- +[760/3000] Train loss: 0.60301, Valid loss: 0.96514, Elapsed_time: 223.95788 +Current_accuracy : 61.000, Current_norm_ED : 0.6853 +Best_accuracy : 61.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.5775 True +1572 | 304 | 0.0003 False +-------------------------------------------------------------------------------- +[765/3000] Train loss: 0.81322, Valid loss: 0.95811, Elapsed_time: 225.53657 +Current_accuracy : 58.000, Current_norm_ED : 0.6855 +Best_accuracy : 61.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6348 | 6348 | 0.9600 True +5165 | 5165 | 0.9739 True +-------------------------------------------------------------------------------- +[770/3000] Train loss: 0.73166, Valid loss: 0.92867, Elapsed_time: 227.16406 +Current_accuracy : 61.000, Current_norm_ED : 0.6990 +Best_accuracy : 61.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5165 | 5165 | 0.9865 True +1572 | 579 | 0.0012 False +-------------------------------------------------------------------------------- +[775/3000] Train loss: 0.74517, Valid loss: 0.93268, Elapsed_time: 228.43236 +Current_accuracy : 62.000, Current_norm_ED : 0.6890 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5538 | 5538 | 0.6653 True +7209 | 7209 | 0.9200 True +-------------------------------------------------------------------------------- +[780/3000] Train loss: 0.69776, Valid loss: 0.99427, Elapsed_time: 230.45803 +Current_accuracy : 60.000, Current_norm_ED : 0.6828 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2894 | 6253 | 0.0006 False +7822 | 8759 | 0.0003 False +-------------------------------------------------------------------------------- +[785/3000] Train loss: 0.90817, Valid loss: 0.97836, Elapsed_time: 231.73341 +Current_accuracy : 61.000, Current_norm_ED : 0.6955 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6728 | 313 | 0.0005 False +0593 | 313 | 0.0005 False +-------------------------------------------------------------------------------- +[790/3000] Train loss: 0.76542, Valid loss: 0.93904, Elapsed_time: 233.01469 +Current_accuracy : 59.000, Current_norm_ED : 0.6928 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 424 | 0.0012 False +3590 | 358 | 0.0012 False +-------------------------------------------------------------------------------- +[795/3000] Train loss: 0.62898, Valid loss: 0.90740, Elapsed_time: 234.27184 +Current_accuracy : 62.000, Current_norm_ED : 0.6890 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8027 | 8027 | 0.9386 True +8405 | 8405 | 0.9394 True +-------------------------------------------------------------------------------- +[800/3000] Train loss: 0.88711, Valid loss: 0.93793, Elapsed_time: 235.86391 +Current_accuracy : 57.500, Current_norm_ED : 0.6693 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2843 | 2843 | 0.9691 True +2433 | 243 | 0.5313 False +-------------------------------------------------------------------------------- +[805/3000] Train loss: 0.67825, Valid loss: 1.03780, Elapsed_time: 237.20493 +Current_accuracy : 57.000, Current_norm_ED : 0.6730 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7742 | 7742 | 0.3202 True +3723 | 3132 | 0.0021 False +-------------------------------------------------------------------------------- +[810/3000] Train loss: 0.62670, Valid loss: 0.90521, Elapsed_time: 239.19396 +Current_accuracy : 61.500, Current_norm_ED : 0.6905 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7295 | 7295 | 0.9533 True +4731 | 4731 | 0.9895 True +-------------------------------------------------------------------------------- +[815/3000] Train loss: 0.75813, Valid loss: 0.87404, Elapsed_time: 240.48495 +Current_accuracy : 59.000, Current_norm_ED : 0.6837 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7016 | 7016 | 0.9763 True +3438 | 3438 | 0.9626 True +-------------------------------------------------------------------------------- +[820/3000] Train loss: 0.85664, Valid loss: 0.95967, Elapsed_time: 241.77866 +Current_accuracy : 60.000, Current_norm_ED : 0.6678 +Best_accuracy : 62.000, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2321 | 2321 | 0.8538 True +0617 | 0617 | 0.9773 True +-------------------------------------------------------------------------------- +[825/3000] Train loss: 0.99661, Valid loss: 0.89821, Elapsed_time: 243.05840 +Current_accuracy : 62.500, Current_norm_ED : 0.6865 +Best_accuracy : 62.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4569 | 4569 | 0.9736 True +6910 | 3154 | 0.0003 False +-------------------------------------------------------------------------------- +[830/3000] Train loss: 0.69242, Valid loss: 1.59188, Elapsed_time: 244.60061 +Current_accuracy : 36.500, Current_norm_ED : 0.6078 +Best_accuracy : 62.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7667 | 3040 | 0.0003 False +2003 | 2003 | 0.5633 True +-------------------------------------------------------------------------------- +[835/3000] Train loss: 0.61891, Valid loss: 0.97682, Elapsed_time: 246.14634 +Current_accuracy : 62.500, Current_norm_ED : 0.6963 +Best_accuracy : 62.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0273 | 154 | 0.0010 False +4236 | 154 | 0.0009 False +-------------------------------------------------------------------------------- +[840/3000] Train loss: 0.88693, Valid loss: 0.98936, Elapsed_time: 247.45284 +Current_accuracy : 61.500, Current_norm_ED : 0.6843 +Best_accuracy : 62.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0034 | 1043 | 0.0004 False +5888 | 588 | 0.4317 False +-------------------------------------------------------------------------------- +[845/3000] Train loss: 0.82007, Valid loss: 0.91185, Elapsed_time: 248.70199 +Current_accuracy : 63.500, Current_norm_ED : 0.6965 +Best_accuracy : 63.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 4405 | 0.8310 True +4459 | 4459 | 0.5125 True +-------------------------------------------------------------------------------- +[850/3000] Train loss: 0.81245, Valid loss: 0.99032, Elapsed_time: 250.24887 +Current_accuracy : 63.500, Current_norm_ED : 0.6930 +Best_accuracy : 63.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0702 | 1012 | 0.0006 False +7822 | 101 | 0.0005 False +-------------------------------------------------------------------------------- +[855/3000] Train loss: 0.62438, Valid loss: 1.04538, Elapsed_time: 251.50651 +Current_accuracy : 63.500, Current_norm_ED : 0.6995 +Best_accuracy : 63.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9438 | 9438 | 0.9822 True +7667 | 3553 | 0.0004 False +-------------------------------------------------------------------------------- +[860/3000] Train loss: 0.83211, Valid loss: 0.86884, Elapsed_time: 252.74986 +Current_accuracy : 61.000, Current_norm_ED : 0.6937 +Best_accuracy : 63.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 1914 | 0.9701 True +9571 | 9571 | 0.9624 True +-------------------------------------------------------------------------------- +[865/3000] Train loss: 0.80972, Valid loss: 0.97608, Elapsed_time: 254.32293 +Current_accuracy : 62.000, Current_norm_ED : 0.6845 +Best_accuracy : 63.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5890 | 9131 | 0.0003 False +4301 | 9431 | 0.0008 False +-------------------------------------------------------------------------------- +[870/3000] Train loss: 0.76589, Valid loss: 0.89549, Elapsed_time: 255.64052 +Current_accuracy : 62.000, Current_norm_ED : 0.6980 +Best_accuracy : 63.500, Best_norm_ED : 0.7030 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 1914 | 0.9774 True +4287 | 4287 | 0.9824 True +-------------------------------------------------------------------------------- +[875/3000] Train loss: 0.72040, Valid loss: 0.85623, Elapsed_time: 256.89145 +Current_accuracy : 61.500, Current_norm_ED : 0.7045 +Best_accuracy : 63.500, Best_norm_ED : 0.7045 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7810 | 7810 | 0.9871 True +6077 | 6077 | 0.2503 True +-------------------------------------------------------------------------------- +[880/3000] Train loss: 0.78893, Valid loss: 0.97242, Elapsed_time: 258.41043 +Current_accuracy : 59.500, Current_norm_ED : 0.6978 +Best_accuracy : 63.500, Best_norm_ED : 0.7045 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7110 | 7110 | 0.4795 True +4472 | 4472 | 0.4619 True +-------------------------------------------------------------------------------- +[885/3000] Train loss: 0.70188, Valid loss: 1.03425, Elapsed_time: 259.65958 +Current_accuracy : 59.500, Current_norm_ED : 0.6805 +Best_accuracy : 63.500, Best_norm_ED : 0.7045 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 3131 | 0.0003 False +4236 | 2531 | 0.0003 False +-------------------------------------------------------------------------------- +[890/3000] Train loss: 0.66920, Valid loss: 0.88426, Elapsed_time: 260.90725 +Current_accuracy : 63.000, Current_norm_ED : 0.7080 +Best_accuracy : 63.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1736 | 1736 | 0.8822 True +4317 | 4317 | 0.9833 True +-------------------------------------------------------------------------------- +[895/3000] Train loss: 1.00756, Valid loss: 0.86709, Elapsed_time: 262.46697 +Current_accuracy : 63.500, Current_norm_ED : 0.6915 +Best_accuracy : 63.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9715 | 11 | 0.0009 False +8168 | 8168 | 0.8219 True +-------------------------------------------------------------------------------- +[900/3000] Train loss: 0.75971, Valid loss: 1.01093, Elapsed_time: 264.07568 +Current_accuracy : 58.500, Current_norm_ED : 0.6917 +Best_accuracy : 63.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3258 | 14 | 0.0005 False +2598 | 2598 | 0.9723 True +-------------------------------------------------------------------------------- +[905/3000] Train loss: 0.70482, Valid loss: 0.94311, Elapsed_time: 265.37486 +Current_accuracy : 61.000, Current_norm_ED : 0.6980 +Best_accuracy : 63.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 8967 | 0.8672 True +1140 | 153 | 0.0004 False +-------------------------------------------------------------------------------- +[910/3000] Train loss: 0.64168, Valid loss: 0.89324, Elapsed_time: 266.65097 +Current_accuracy : 63.500, Current_norm_ED : 0.7030 +Best_accuracy : 63.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4066 | 4066 | 0.6533 True +8488 | 8488 | 0.2817 True +-------------------------------------------------------------------------------- +[915/3000] Train loss: 0.68727, Valid loss: 0.93249, Elapsed_time: 267.92689 +Current_accuracy : 64.000, Current_norm_ED : 0.6868 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5165 | 5165 | 0.9929 True +0228 | 309 | 0.0004 False +-------------------------------------------------------------------------------- +[920/3000] Train loss: 0.76611, Valid loss: 0.94386, Elapsed_time: 269.49566 +Current_accuracy : 64.000, Current_norm_ED : 0.6990 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8461 | 8548 | 0.0004 False +9442 | 8548 | 0.0004 False +-------------------------------------------------------------------------------- +[925/3000] Train loss: 0.85056, Valid loss: 1.00078, Elapsed_time: 270.74907 +Current_accuracy : 64.000, Current_norm_ED : 0.6990 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3067 | 3067 | 0.9833 True +7764 | 3751 | 0.0002 False +-------------------------------------------------------------------------------- +[930/3000] Train loss: 0.72870, Valid loss: 0.93894, Elapsed_time: 272.97627 +Current_accuracy : 60.000, Current_norm_ED : 0.6803 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 3141 | 0.0003 False +9700 | 9241 | 0.0013 False +-------------------------------------------------------------------------------- +[935/3000] Train loss: 0.82458, Valid loss: 0.82354, Elapsed_time: 274.28184 +Current_accuracy : 61.500, Current_norm_ED : 0.6765 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3848 | 3848 | 0.9607 True +7028 | 7028 | 0.9216 True +-------------------------------------------------------------------------------- +[940/3000] Train loss: 0.86828, Valid loss: 0.90154, Elapsed_time: 275.57717 +Current_accuracy : 63.500, Current_norm_ED : 0.6903 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7875 | 7875 | 0.9918 True +3409 | 3409 | 0.9757 True +-------------------------------------------------------------------------------- +[945/3000] Train loss: 0.75962, Valid loss: 0.83889, Elapsed_time: 276.85990 +Current_accuracy : 63.500, Current_norm_ED : 0.6915 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 0713 | 0.9884 True +8773 | 3543 | 0.0002 False +-------------------------------------------------------------------------------- +[950/3000] Train loss: 0.65742, Valid loss: 0.90405, Elapsed_time: 278.13868 +Current_accuracy : 62.500, Current_norm_ED : 0.6853 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4685 | 4685 | 0.9779 True +0543 | 55 | 0.0004 False +-------------------------------------------------------------------------------- +[955/3000] Train loss: 0.82535, Valid loss: 0.98747, Elapsed_time: 279.33691 +Current_accuracy : 63.000, Current_norm_ED : 0.6940 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2239 | 131 | 0.0003 False +3723 | 112 | 0.0007 False +-------------------------------------------------------------------------------- +[960/3000] Train loss: 0.60105, Valid loss: 0.89869, Elapsed_time: 280.83130 +Current_accuracy : 64.000, Current_norm_ED : 0.7003 +Best_accuracy : 64.000, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1796 | 1796 | 0.9804 True +8243 | 8243 | 0.9885 True +-------------------------------------------------------------------------------- +[965/3000] Train loss: 0.62291, Valid loss: 0.91668, Elapsed_time: 282.03004 +Current_accuracy : 64.500, Current_norm_ED : 0.6990 +Best_accuracy : 64.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0474 | 4950 | 0.0008 False +2742 | 2742 | 0.8761 True +-------------------------------------------------------------------------------- +[970/3000] Train loss: 0.73764, Valid loss: 0.82614, Elapsed_time: 283.59277 +Current_accuracy : 63.500, Current_norm_ED : 0.6953 +Best_accuracy : 64.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.6114 True +9511 | 9511 | 0.3182 True +-------------------------------------------------------------------------------- +[975/3000] Train loss: 0.77418, Valid loss: 0.84098, Elapsed_time: 284.87195 +Current_accuracy : 62.500, Current_norm_ED : 0.6903 +Best_accuracy : 64.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.9825 True +6350 | 3749 | 0.0003 False +-------------------------------------------------------------------------------- +[980/3000] Train loss: 0.85289, Valid loss: 0.90735, Elapsed_time: 286.12494 +Current_accuracy : 64.000, Current_norm_ED : 0.6928 +Best_accuracy : 64.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9700 | 495 | 0.0014 False +7781 | 355 | 0.0005 False +-------------------------------------------------------------------------------- +[985/3000] Train loss: 0.79776, Valid loss: 1.28901, Elapsed_time: 287.39787 +Current_accuracy : 37.500, Current_norm_ED : 0.6150 +Best_accuracy : 64.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7028 | 7028 | 0.9905 True +9220 | 855 | 0.0007 False +-------------------------------------------------------------------------------- +[990/3000] Train loss: 0.65662, Valid loss: 0.86141, Elapsed_time: 288.66908 +Current_accuracy : 62.500, Current_norm_ED : 0.6790 +Best_accuracy : 64.500, Best_norm_ED : 0.7080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0617 | 0617 | 0.9849 True +1730 | 1730 | 0.9795 True +-------------------------------------------------------------------------------- +[995/3000] Train loss: 0.68327, Valid loss: 0.88654, Elapsed_time: 290.21739 +Current_accuracy : 64.000, Current_norm_ED : 0.7103 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2737 | 2737 | 0.9567 True +2843 | 2843 | 0.9871 True +-------------------------------------------------------------------------------- +[1000/3000] Train loss: 0.88921, Valid loss: 2.80994, Elapsed_time: 291.85107 +Current_accuracy : 28.000, Current_norm_ED : 0.3987 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6852 | 5942 | 0.0083 False +7667 | 942 | 0.0005 False +-------------------------------------------------------------------------------- +[1005/3000] Train loss: 1.57580, Valid loss: 1.92188, Elapsed_time: 293.13393 +Current_accuracy : 26.000, Current_norm_ED : 0.3787 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9885 | 3158 | 0.0018 False +9511 | 9511 | 0.2591 True +-------------------------------------------------------------------------------- +[1010/3000] Train loss: 1.84898, Valid loss: 1.90374, Elapsed_time: 294.38675 +Current_accuracy : 24.000, Current_norm_ED : 0.3768 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 2589 | 0.0004 False +2134 | 35328 | 0.0001 False +-------------------------------------------------------------------------------- +[1015/3000] Train loss: 1.49798, Valid loss: 1.92247, Elapsed_time: 295.67280 +Current_accuracy : 17.500, Current_norm_ED : 0.3392 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5427 | 5427 | 0.9631 True +7875 | 7875 | 0.9762 True +-------------------------------------------------------------------------------- +[1020/3000] Train loss: 1.60384, Valid loss: 1.25925, Elapsed_time: 296.90060 +Current_accuracy : 34.500, Current_norm_ED : 0.5982 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 100 | 0.0667 False +8027 | 9027 | 0.4142 False +-------------------------------------------------------------------------------- +[1025/3000] Train loss: 0.84632, Valid loss: 0.94980, Elapsed_time: 298.52056 +Current_accuracy : 57.500, Current_norm_ED : 0.6830 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1516 | 771 | 0.0003 False +1141 | 1141 | 0.6545 True +-------------------------------------------------------------------------------- +[1030/3000] Train loss: 0.73425, Valid loss: 0.98556, Elapsed_time: 299.85084 +Current_accuracy : 59.000, Current_norm_ED : 0.6958 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3723 | 113 | 0.0003 False +1960 | 1960 | 0.9808 True +-------------------------------------------------------------------------------- +[1035/3000] Train loss: 0.71412, Valid loss: 0.96713, Elapsed_time: 301.11511 +Current_accuracy : 57.500, Current_norm_ED : 0.6850 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3723 | 5953 | 0.0004 False +3848 | 3848 | 0.9517 True +-------------------------------------------------------------------------------- +[1040/3000] Train loss: 0.77736, Valid loss: 0.97447, Elapsed_time: 302.36244 +Current_accuracy : 58.500, Current_norm_ED : 0.6815 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1737 | 1737 | 0.6030 True +3723 | 4942 | 0.0005 False +-------------------------------------------------------------------------------- +[1045/3000] Train loss: 0.86775, Valid loss: 0.93579, Elapsed_time: 303.69889 +Current_accuracy : 60.500, Current_norm_ED : 0.6843 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5529 | 5529 | 0.7090 True +7781 | 3143 | 0.0003 False +-------------------------------------------------------------------------------- +[1050/3000] Train loss: 0.76974, Valid loss: 0.84352, Elapsed_time: 305.64806 +Current_accuracy : 62.000, Current_norm_ED : 0.6955 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4952 | 4952 | 0.9847 True +8286 | 8286 | 0.9603 True +-------------------------------------------------------------------------------- +[1055/3000] Train loss: 0.64957, Valid loss: 1.01365, Elapsed_time: 306.92323 +Current_accuracy : 63.000, Current_norm_ED : 0.6992 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6350 | 379 | 0.0008 False +1090 | 1090 | 0.9841 True +-------------------------------------------------------------------------------- +[1060/3000] Train loss: 0.85069, Valid loss: 0.94577, Elapsed_time: 308.51563 +Current_accuracy : 63.500, Current_norm_ED : 0.7042 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4569 | 4569 | 0.9919 True +7822 | 1047 | 0.0003 False +-------------------------------------------------------------------------------- +[1065/3000] Train loss: 0.70116, Valid loss: 0.89812, Elapsed_time: 309.78663 +Current_accuracy : 62.500, Current_norm_ED : 0.6955 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 899 | 0.0004 False +1736 | 1736 | 0.9783 True +-------------------------------------------------------------------------------- +[1070/3000] Train loss: 0.65019, Valid loss: 0.90188, Elapsed_time: 311.08550 +Current_accuracy : 62.500, Current_norm_ED : 0.7055 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6620 | 546 | 0.0003 False +1960 | 1960 | 0.9946 True +-------------------------------------------------------------------------------- +[1075/3000] Train loss: 0.77794, Valid loss: 0.82748, Elapsed_time: 312.38317 +Current_accuracy : 64.000, Current_norm_ED : 0.6980 +Best_accuracy : 64.500, Best_norm_ED : 0.7103 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9030 | 9030 | 0.8883 True +7682 | 7682 | 0.9952 True +-------------------------------------------------------------------------------- +[1080/3000] Train loss: 0.65743, Valid loss: 0.97033, Elapsed_time: 313.66851 +Current_accuracy : 63.000, Current_norm_ED : 0.7107 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9267 | 171 | 0.0003 False +1572 | 171 | 0.0003 False +-------------------------------------------------------------------------------- +[1085/3000] Train loss: 0.74682, Valid loss: 0.88428, Elapsed_time: 315.22967 +Current_accuracy : 63.000, Current_norm_ED : 0.6967 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7209 | 7209 | 0.9771 True +9163 | 9163 | 0.9918 True +-------------------------------------------------------------------------------- +[1090/3000] Train loss: 0.68464, Valid loss: 0.97397, Elapsed_time: 316.79714 +Current_accuracy : 62.500, Current_norm_ED : 0.7055 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6914 | 147 | 0.0002 False +0907 | 0907 | 0.9773 True +-------------------------------------------------------------------------------- +[1095/3000] Train loss: 0.81705, Valid loss: 0.98952, Elapsed_time: 318.13808 +Current_accuracy : 59.000, Current_norm_ED : 0.6867 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.6097 True +4472 | 4472 | 0.5946 True +-------------------------------------------------------------------------------- +[1100/3000] Train loss: 0.76951, Valid loss: 0.92874, Elapsed_time: 319.41573 +Current_accuracy : 62.500, Current_norm_ED : 0.7070 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4066 | 4066 | 0.3664 True +1140 | 141 | 0.0005 False +-------------------------------------------------------------------------------- +[1105/3000] Train loss: 0.65417, Valid loss: 0.91645, Elapsed_time: 320.70873 +Current_accuracy : 62.500, Current_norm_ED : 0.6917 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3450 | 3450 | 0.9915 True +4620 | 4620 | 0.9818 True +-------------------------------------------------------------------------------- +[1110/3000] Train loss: 0.82808, Valid loss: 0.94582, Elapsed_time: 321.96829 +Current_accuracy : 60.000, Current_norm_ED : 0.6925 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7822 | 11 | 0.0004 False +7682 | 7682 | 0.9730 True +-------------------------------------------------------------------------------- +[1115/3000] Train loss: 0.80090, Valid loss: 0.86163, Elapsed_time: 323.20224 +Current_accuracy : 62.000, Current_norm_ED : 0.7030 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4952 | 4952 | 0.9913 True +3361 | 107 | 0.0003 False +-------------------------------------------------------------------------------- +[1120/3000] Train loss: 0.55874, Valid loss: 0.92570, Elapsed_time: 324.76429 +Current_accuracy : 63.000, Current_norm_ED : 0.7030 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6574 | 373 | 0.0008 False +0975 | 0975 | 0.9860 True +-------------------------------------------------------------------------------- +[1125/3000] Train loss: 0.59389, Valid loss: 0.88312, Elapsed_time: 326.00363 +Current_accuracy : 61.000, Current_norm_ED : 0.6968 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6728 | 373 | 0.0005 False +1960 | 1960 | 0.9814 True +-------------------------------------------------------------------------------- +[1130/3000] Train loss: 0.69298, Valid loss: 0.87981, Elapsed_time: 327.28511 +Current_accuracy : 63.500, Current_norm_ED : 0.6953 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7667 | 2142 | 0.0003 False +2742 | 2742 | 0.9299 True +-------------------------------------------------------------------------------- +[1135/3000] Train loss: 0.68375, Valid loss: 0.85560, Elapsed_time: 328.54812 +Current_accuracy : 63.000, Current_norm_ED : 0.7017 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8286 | 8286 | 0.9773 True +3506 | 8743 | 0.0002 False +-------------------------------------------------------------------------------- +[1140/3000] Train loss: 0.77748, Valid loss: 0.89132, Elapsed_time: 329.83942 +Current_accuracy : 64.000, Current_norm_ED : 0.7015 +Best_accuracy : 64.500, Best_norm_ED : 0.7107 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 8078 | 0.0009 False +4066 | 4066 | 0.8002 True +-------------------------------------------------------------------------------- +[1145/3000] Train loss: 0.87876, Valid loss: 0.95901, Elapsed_time: 331.11406 +Current_accuracy : 63.000, Current_norm_ED : 0.7180 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7742 | 7742 | 0.5802 True +8744 | 4971 | 0.0008 False +-------------------------------------------------------------------------------- +[1150/3000] Train loss: 0.77035, Valid loss: 1.04067, Elapsed_time: 332.68191 +Current_accuracy : 54.500, Current_norm_ED : 0.6815 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3297 | 3297 | 0.7211 True +0593 | 17 | 0.0012 False +-------------------------------------------------------------------------------- +[1155/3000] Train loss: 0.72371, Valid loss: 0.82115, Elapsed_time: 334.32267 +Current_accuracy : 61.000, Current_norm_ED : 0.6943 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3638 | 3638 | 0.9752 True +5165 | 5165 | 0.9969 True +-------------------------------------------------------------------------------- +[1160/3000] Train loss: 0.88820, Valid loss: 0.90071, Elapsed_time: 335.61211 +Current_accuracy : 59.500, Current_norm_ED : 0.6915 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5888 | 5898 | 0.6402 False +7781 | 317 | 0.0007 False +-------------------------------------------------------------------------------- +[1165/3000] Train loss: 0.62804, Valid loss: 0.87981, Elapsed_time: 336.86758 +Current_accuracy : 63.500, Current_norm_ED : 0.7153 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.9682 True +7742 | 7742 | 0.2519 True +-------------------------------------------------------------------------------- +[1170/3000] Train loss: 0.60983, Valid loss: 0.82626, Elapsed_time: 338.54543 +Current_accuracy : 63.500, Current_norm_ED : 0.7065 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6919 | 6919 | 0.9802 True +3438 | 3438 | 0.9805 True +-------------------------------------------------------------------------------- +[1175/3000] Train loss: 0.90226, Valid loss: 0.86828, Elapsed_time: 339.79566 +Current_accuracy : 64.000, Current_norm_ED : 0.7055 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3848 | 3848 | 0.9288 True +6191 | 6191 | 0.9924 True +-------------------------------------------------------------------------------- +[1180/3000] Train loss: 0.72672, Valid loss: 0.86364, Elapsed_time: 341.05786 +Current_accuracy : 62.500, Current_norm_ED : 0.7040 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3560 | 3560 | 0.9822 True +4472 | 4472 | 0.3492 True +-------------------------------------------------------------------------------- +[1185/3000] Train loss: 0.49615, Valid loss: 0.84231, Elapsed_time: 342.63447 +Current_accuracy : 63.500, Current_norm_ED : 0.7092 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2665 | 0.9954 True +7108 | 7108 | 0.9559 True +-------------------------------------------------------------------------------- +[1190/3000] Train loss: 0.68705, Valid loss: 0.88443, Elapsed_time: 343.94938 +Current_accuracy : 63.500, Current_norm_ED : 0.7165 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.9801 True +6858 | 6858 | 0.9810 True +-------------------------------------------------------------------------------- +[1195/3000] Train loss: 0.73481, Valid loss: 0.87149, Elapsed_time: 345.23952 +Current_accuracy : 64.500, Current_norm_ED : 0.7125 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3389 | 3389 | 0.5146 True +0056 | 0056 | 0.7039 True +-------------------------------------------------------------------------------- +[1200/3000] Train loss: 0.73656, Valid loss: 0.84450, Elapsed_time: 346.52364 +Current_accuracy : 63.000, Current_norm_ED : 0.7015 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1796 | 1796 | 0.9853 True +0713 | 0713 | 0.9904 True +-------------------------------------------------------------------------------- +[1205/3000] Train loss: 0.67682, Valid loss: 0.78269, Elapsed_time: 347.76518 +Current_accuracy : 63.500, Current_norm_ED : 0.7140 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4569 | 4569 | 0.9943 True +0340 | 0340 | 0.9647 True +-------------------------------------------------------------------------------- +[1210/3000] Train loss: 0.73436, Valid loss: 0.88783, Elapsed_time: 349.02933 +Current_accuracy : 63.500, Current_norm_ED : 0.7040 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5165 | 5165 | 0.9961 True +8286 | 8286 | 0.9747 True +-------------------------------------------------------------------------------- +[1215/3000] Train loss: 0.84769, Valid loss: 0.91031, Elapsed_time: 350.26786 +Current_accuracy : 59.000, Current_norm_ED : 0.6853 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.9922 True +1796 | 1796 | 0.9547 True +-------------------------------------------------------------------------------- +[1220/3000] Train loss: 0.73382, Valid loss: 0.89532, Elapsed_time: 351.87406 +Current_accuracy : 64.000, Current_norm_ED : 0.7128 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7253 | 7253 | 0.5294 True +7682 | 7682 | 0.9853 True +-------------------------------------------------------------------------------- +[1225/3000] Train loss: 0.75460, Valid loss: 0.88375, Elapsed_time: 353.14569 +Current_accuracy : 58.000, Current_norm_ED : 0.6913 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 2164 | 0.9690 True +6191 | 6191 | 0.9952 True +-------------------------------------------------------------------------------- +[1230/3000] Train loss: 0.67958, Valid loss: 0.84570, Elapsed_time: 354.40879 +Current_accuracy : 58.000, Current_norm_ED : 0.6963 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8096 | 8968 | 0.0018 False +1346 | 1346 | 0.9521 True +-------------------------------------------------------------------------------- +[1235/3000] Train loss: 0.80350, Valid loss: 0.86577, Elapsed_time: 355.71777 +Current_accuracy : 63.500, Current_norm_ED : 0.7165 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3409 | 3409 | 0.9691 True +2665 | 2665 | 0.9923 True +-------------------------------------------------------------------------------- +[1240/3000] Train loss: 0.66137, Valid loss: 1.19612, Elapsed_time: 357.03126 +Current_accuracy : 47.000, Current_norm_ED : 0.6665 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1572 | 311 | 0.0009 False +3450 | 3459 | 0.6032 False +-------------------------------------------------------------------------------- +[1245/3000] Train loss: 0.59149, Valid loss: 0.82412, Elapsed_time: 358.30033 +Current_accuracy : 62.500, Current_norm_ED : 0.7153 +Best_accuracy : 64.500, Best_norm_ED : 0.7180 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0567 | 053 | 0.0013 False +3574 | 3574 | 0.9923 True +-------------------------------------------------------------------------------- +[1250/3000] Train loss: 0.61670, Valid loss: 0.04696, Elapsed_time: 359.84177 +Current_accuracy : 93.500, Current_norm_ED : 0.9843 +Best_accuracy : 93.500, Best_norm_ED : 0.9843 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2433 | 2433 | 0.3994 True +7810 | 7810 | 0.9952 True +-------------------------------------------------------------------------------- +[1255/3000] Train loss: 0.06452, Valid loss: 0.71210, Elapsed_time: 361.76677 +Current_accuracy : 65.000, Current_norm_ED : 0.8445 +Best_accuracy : 93.500, Best_norm_ED : 0.9843 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6620 | 620 | 0.4561 False +9033 | 9033 | 0.4596 True +-------------------------------------------------------------------------------- +[1260/3000] Train loss: 0.13112, Valid loss: 0.32939, Elapsed_time: 363.03378 +Current_accuracy : 74.500, Current_norm_ED : 0.9225 +Best_accuracy : 93.500, Best_norm_ED : 0.9843 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8168 | 8168 | 0.8908 True +9220 | 9220 | 0.9555 True +-------------------------------------------------------------------------------- +[1265/3000] Train loss: 0.08807, Valid loss: 0.12020, Elapsed_time: 364.31380 +Current_accuracy : 87.500, Current_norm_ED : 0.9690 +Best_accuracy : 93.500, Best_norm_ED : 0.9843 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 841 | 0.4258 False +8773 | 8773 | 0.9368 True +-------------------------------------------------------------------------------- +[1270/3000] Train loss: 0.08771, Valid loss: 0.13209, Elapsed_time: 365.58843 +Current_accuracy : 84.500, Current_norm_ED : 0.9607 +Best_accuracy : 93.500, Best_norm_ED : 0.9843 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1383 | 1383 | 0.9879 True +3937 | 3937 | 0.9854 True +-------------------------------------------------------------------------------- +[1275/3000] Train loss: 0.14206, Valid loss: 0.18792, Elapsed_time: 366.85256 +Current_accuracy : 81.000, Current_norm_ED : 0.9528 +Best_accuracy : 93.500, Best_norm_ED : 0.9843 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9046 | 046 | 0.9601 False +0155 | 0155 | 0.5229 True +-------------------------------------------------------------------------------- +[1280/3000] Train loss: 0.07853, Valid loss: 0.19331, Elapsed_time: 368.45450 +Current_accuracy : 79.000, Current_norm_ED : 0.9453 +Best_accuracy : 93.500, Best_norm_ED : 0.9843 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 0469 | 0.9811 True +2768 | 2768 | 0.8894 True +-------------------------------------------------------------------------------- +[1285/3000] Train loss: 0.07515, Valid loss: 0.04786, Elapsed_time: 369.71264 +Current_accuracy : 94.500, Current_norm_ED : 0.9868 +Best_accuracy : 94.500, Best_norm_ED : 0.9868 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1346 | 1346 | 0.9825 True +7682 | 7682 | 0.9876 True +-------------------------------------------------------------------------------- +[1290/3000] Train loss: 0.02590, Valid loss: 0.03223, Elapsed_time: 372.16997 +Current_accuracy : 97.500, Current_norm_ED : 0.9945 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 0469 | 0.9837 True +4569 | 4569 | 0.9944 True +-------------------------------------------------------------------------------- +[1295/3000] Train loss: 0.02120, Valid loss: 0.10963, Elapsed_time: 374.10161 +Current_accuracy : 89.000, Current_norm_ED : 0.9711 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8834 | 8834 | 0.5284 True +7014 | 7013 | 0.9461 False +-------------------------------------------------------------------------------- +[1300/3000] Train loss: 0.10636, Valid loss: 0.51717, Elapsed_time: 375.37906 +Current_accuracy : 68.500, Current_norm_ED : 0.9120 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8027 | 8027 | 0.7849 True +1873 | 1873 | 0.9893 True +-------------------------------------------------------------------------------- +[1305/3000] Train loss: 0.06071, Valid loss: 0.30703, Elapsed_time: 376.66935 +Current_accuracy : 78.000, Current_norm_ED : 0.9445 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0975 | 0975 | 0.9597 True +1730 | 7730 | 0.3366 False +-------------------------------------------------------------------------------- +[1310/3000] Train loss: 0.07725, Valid loss: 0.48270, Elapsed_time: 377.96197 +Current_accuracy : 72.500, Current_norm_ED : 0.9283 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7209 | 7209 | 0.7706 True +5888 | 5888 | 0.4942 True +-------------------------------------------------------------------------------- +[1315/3000] Train loss: 0.07568, Valid loss: 0.05142, Elapsed_time: 379.60506 +Current_accuracy : 96.000, Current_norm_ED : 0.9910 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.9743 True +4769 | 4769 | 0.9854 True +-------------------------------------------------------------------------------- +[1320/3000] Train loss: 0.02047, Valid loss: 0.04424, Elapsed_time: 380.94030 +Current_accuracy : 96.000, Current_norm_ED : 0.9910 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9030 | 9030 | 0.4401 True +0056 | 0056 | 0.5616 True +-------------------------------------------------------------------------------- +[1325/3000] Train loss: 0.02528, Valid loss: 0.03283, Elapsed_time: 382.25514 +Current_accuracy : 97.000, Current_norm_ED : 0.9935 +Best_accuracy : 97.500, Best_norm_ED : 0.9945 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0702 | 0702 | 0.7893 True +0543 | 0543 | 0.9936 True +-------------------------------------------------------------------------------- +[1330/3000] Train loss: 0.00728, Valid loss: 0.01775, Elapsed_time: 383.54288 +Current_accuracy : 98.000, Current_norm_ED : 0.9953 +Best_accuracy : 98.000, Best_norm_ED : 0.9953 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.9853 True +9139 | 9139 | 0.9924 True +-------------------------------------------------------------------------------- +[1335/3000] Train loss: 0.00973, Valid loss: 0.05592, Elapsed_time: 385.37695 +Current_accuracy : 93.500, Current_norm_ED : 0.9843 +Best_accuracy : 98.000, Best_norm_ED : 0.9953 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1090 | 1090 | 0.9720 True +0340 | 0340 | 0.9778 True +-------------------------------------------------------------------------------- +[1340/3000] Train loss: 0.00576, Valid loss: 0.04064, Elapsed_time: 386.64033 +Current_accuracy : 96.500, Current_norm_ED : 0.9918 +Best_accuracy : 98.000, Best_norm_ED : 0.9953 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9438 | 9438 | 0.9962 True +2134 | 2134 | 0.9286 True +-------------------------------------------------------------------------------- +[1345/3000] Train loss: 0.00395, Valid loss: 0.01400, Elapsed_time: 388.16227 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7295 | 7295 | 0.9917 True +4217 | 4217 | 0.9947 True +-------------------------------------------------------------------------------- +[1350/3000] Train loss: 0.00322, Valid loss: 0.01468, Elapsed_time: 390.14185 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0228 | 0228 | 0.9884 True +2598 | 2598 | 0.9918 True +-------------------------------------------------------------------------------- +[1355/3000] Train loss: 0.01058, Valid loss: 0.03008, Elapsed_time: 391.40779 +Current_accuracy : 97.000, Current_norm_ED : 0.9930 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.9524 True +6350 | 6350 | 0.9844 True +-------------------------------------------------------------------------------- +[1360/3000] Train loss: 0.00958, Valid loss: 0.02343, Elapsed_time: 392.61924 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3361 | 361 | 0.4163 False +3638 | 3638 | 0.9967 True +-------------------------------------------------------------------------------- +[1365/3000] Train loss: 0.00252, Valid loss: 0.01910, Elapsed_time: 393.85716 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2182 | 2182 | 0.9912 True +8262 | 8262 | 0.9945 True +-------------------------------------------------------------------------------- +[1370/3000] Train loss: 0.00253, Valid loss: 0.01565, Elapsed_time: 395.11523 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5538 | 5538 | 0.7652 True +2831 | 2831 | 0.9970 True +-------------------------------------------------------------------------------- +[1375/3000] Train loss: 0.00260, Valid loss: 0.01292, Elapsed_time: 396.35620 +Current_accuracy : 98.000, Current_norm_ED : 0.9953 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3560 | 3560 | 0.9950 True +7695 | 7695 | 0.9879 True +-------------------------------------------------------------------------------- +[1380/3000] Train loss: 0.00162, Valid loss: 0.01130, Elapsed_time: 397.95703 +Current_accuracy : 97.500, Current_norm_ED : 0.9942 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0593 | 0593 | 0.9967 True +9589 | 9589 | 0.9880 True +-------------------------------------------------------------------------------- +[1385/3000] Train loss: 0.00245, Valid loss: 0.01142, Elapsed_time: 399.29589 +Current_accuracy : 97.500, Current_norm_ED : 0.9942 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7110 | 7110 | 0.9443 True +9541 | 9541 | 0.9930 True +-------------------------------------------------------------------------------- +[1390/3000] Train loss: 0.00187, Valid loss: 0.00985, Elapsed_time: 400.55818 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 98.500, Best_norm_ED : 0.9965 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3258 | 3258 | 0.9954 True +1372 | 1372 | 0.9919 True +-------------------------------------------------------------------------------- +[1395/3000] Train loss: 0.00148, Valid loss: 0.00778, Elapsed_time: 401.85518 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7953 | 7953 | 0.9922 True +9571 | 9571 | 0.9908 True +-------------------------------------------------------------------------------- +[1400/3000] Train loss: 0.00178, Valid loss: 0.00804, Elapsed_time: 404.26766 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9281 | 9281 | 0.9964 True +5944 | 5944 | 0.6215 True +-------------------------------------------------------------------------------- +[1405/3000] Train loss: 0.00165, Valid loss: 0.00739, Elapsed_time: 405.53677 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9046 | 9046 | 0.9777 True +9335 | 9335 | 0.9946 True +-------------------------------------------------------------------------------- +[1410/3000] Train loss: 0.00677, Valid loss: 0.13506, Elapsed_time: 407.15821 +Current_accuracy : 88.000, Current_norm_ED : 0.9670 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6348 | 6348 | 0.9836 True +8027 | 9027 | 0.9446 False +-------------------------------------------------------------------------------- +[1415/3000] Train loss: 0.01810, Valid loss: 0.01561, Elapsed_time: 408.46605 +Current_accuracy : 98.000, Current_norm_ED : 0.9953 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 1289 | 0.9911 True +7016 | 7016 | 0.9967 True +-------------------------------------------------------------------------------- +[1420/3000] Train loss: 0.00221, Valid loss: 0.01241, Elapsed_time: 409.73609 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 2768 | 0.9804 True +3351 | 3351 | 0.8315 True +-------------------------------------------------------------------------------- +[1425/3000] Train loss: 0.00164, Valid loss: 0.00970, Elapsed_time: 411.03111 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3506 | 3506 | 0.9939 True +9511 | 9511 | 0.7245 True +-------------------------------------------------------------------------------- +[1430/3000] Train loss: 0.00146, Valid loss: 0.01051, Elapsed_time: 412.31687 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6858 | 6858 | 0.9934 True +4217 | 4217 | 0.9956 True +-------------------------------------------------------------------------------- +[1435/3000] Train loss: 0.00143, Valid loss: 0.00928, Elapsed_time: 413.55521 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8461 | 8461 | 0.9897 True +0543 | 0543 | 0.9982 True +-------------------------------------------------------------------------------- +[1440/3000] Train loss: 0.12201, Valid loss: 0.01903, Elapsed_time: 415.16413 +Current_accuracy : 96.500, Current_norm_ED : 0.9920 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7295 | 7295 | 0.9952 True +5735 | 5735 | 0.9924 True +-------------------------------------------------------------------------------- +[1445/3000] Train loss: 0.00285, Valid loss: 0.02990, Elapsed_time: 416.47289 +Current_accuracy : 95.000, Current_norm_ED : 0.9883 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3297 | 3297 | 0.9861 True +8243 | 8243 | 0.9961 True +-------------------------------------------------------------------------------- +[1450/3000] Train loss: 0.00173, Valid loss: 0.00787, Elapsed_time: 417.78619 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3476 | 3476 | 0.9970 True +9589 | 9589 | 0.9847 True +-------------------------------------------------------------------------------- +[1455/3000] Train loss: 0.00133, Valid loss: 0.00753, Elapsed_time: 419.09383 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6077 | 6077 | 0.5021 True +1796 | 1796 | 0.9946 True +-------------------------------------------------------------------------------- +[1460/3000] Train loss: 0.00119, Valid loss: 0.00703, Elapsed_time: 420.42962 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 4405 | 0.8835 True +1156 | 1156 | 0.7900 True +-------------------------------------------------------------------------------- +[1465/3000] Train loss: 0.00112, Valid loss: 0.00783, Elapsed_time: 421.72208 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9033 | 9033 | 0.8179 True +3848 | 3848 | 0.9965 True +-------------------------------------------------------------------------------- +[1470/3000] Train loss: 0.00117, Valid loss: 0.01098, Elapsed_time: 423.02242 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2003 | 0.9913 True +4236 | 4236 | 0.9971 True +-------------------------------------------------------------------------------- +[1475/3000] Train loss: 0.00173, Valid loss: 0.01335, Elapsed_time: 424.64746 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7682 | 7682 | 0.9980 True +6914 | 6914 | 0.9949 True +-------------------------------------------------------------------------------- +[1480/3000] Train loss: 0.00089, Valid loss: 0.01119, Elapsed_time: 425.92409 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4222 | 4222 | 0.3964 True +1407 | 1407 | 0.9870 True +-------------------------------------------------------------------------------- +[1485/3000] Train loss: 0.00111, Valid loss: 0.00791, Elapsed_time: 427.19904 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1346 | 1346 | 0.9963 True +5239 | 5239 | 0.9976 True +-------------------------------------------------------------------------------- +[1490/3000] Train loss: 0.00099, Valid loss: 0.00816, Elapsed_time: 428.51762 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.000, Best_norm_ED : 0.9978 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5627 | 5627 | 0.9982 True +2665 | 2665 | 0.9992 True +-------------------------------------------------------------------------------- +[1495/3000] Train loss: 0.00084, Valid loss: 0.00654, Elapsed_time: 429.83937 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7781 | 7781 | 0.6679 True +2134 | 2134 | 0.9945 True +-------------------------------------------------------------------------------- +[1500/3000] Train loss: 0.00080, Valid loss: 0.00692, Elapsed_time: 431.84669 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.9957 True +8834 | 8834 | 0.3853 True +-------------------------------------------------------------------------------- +[1505/3000] Train loss: 0.00076, Valid loss: 0.00684, Elapsed_time: 433.43889 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2665 | 0.9993 True +0975 | 0975 | 0.9972 True +-------------------------------------------------------------------------------- +[1510/3000] Train loss: 0.00063, Valid loss: 0.00664, Elapsed_time: 434.83269 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7695 | 7695 | 0.9949 True +1140 | 1140 | 0.7137 True +-------------------------------------------------------------------------------- +[1515/3000] Train loss: 0.00075, Valid loss: 0.00832, Elapsed_time: 436.71654 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1572 | 1572 | 0.9983 True +2665 | 2665 | 0.9993 True +-------------------------------------------------------------------------------- +[1520/3000] Train loss: 0.00075, Valid loss: 0.00674, Elapsed_time: 437.99664 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9335 | 9335 | 0.9974 True +1730 | 1730 | 0.9976 True +-------------------------------------------------------------------------------- +[1525/3000] Train loss: 0.00076, Valid loss: 0.00657, Elapsed_time: 439.26748 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0155 | 0155 | 0.9372 True +2433 | 2433 | 0.6318 True +-------------------------------------------------------------------------------- +[1530/3000] Train loss: 0.00065, Valid loss: 0.01278, Elapsed_time: 440.52158 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1372 | 1372 | 0.9972 True +4459 | 4459 | 0.9307 True +-------------------------------------------------------------------------------- +[1535/3000] Train loss: 0.00118, Valid loss: 0.02991, Elapsed_time: 441.74917 +Current_accuracy : 97.500, Current_norm_ED : 0.9945 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6367 | 6367 | 0.9957 True +3297 | 3297 | 0.9910 True +-------------------------------------------------------------------------------- +[1540/3000] Train loss: 0.00070, Valid loss: 0.02907, Elapsed_time: 443.35073 +Current_accuracy : 97.500, Current_norm_ED : 0.9945 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7810 | 7810 | 0.9990 True +0034 | 0034 | 0.6973 True +-------------------------------------------------------------------------------- +[1545/3000] Train loss: 0.00071, Valid loss: 0.02707, Elapsed_time: 444.68313 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2665 | 0.9975 True +0340 | 0340 | 0.9968 True +-------------------------------------------------------------------------------- +[1550/3000] Train loss: 0.00061, Valid loss: 0.02418, Elapsed_time: 445.97929 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0593 | 0593 | 0.9989 True +0631 | 0631 | 0.9990 True +-------------------------------------------------------------------------------- +[1555/3000] Train loss: 0.00069, Valid loss: 0.01829, Elapsed_time: 447.25596 +Current_accuracy : 98.000, Current_norm_ED : 0.9953 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2831 | 2831 | 0.9992 True +1796 | 1796 | 0.9975 True +-------------------------------------------------------------------------------- +[1560/3000] Train loss: 0.00081, Valid loss: 0.00819, Elapsed_time: 448.52267 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.9144 True +9541 | 9541 | 0.9972 True +-------------------------------------------------------------------------------- +[1565/3000] Train loss: 0.00061, Valid loss: 0.00670, Elapsed_time: 449.79235 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8794 | 8794 | 0.9986 True +5415 | 5415 | 0.9985 True +-------------------------------------------------------------------------------- +[1570/3000] Train loss: 0.04467, Valid loss: 0.01612, Elapsed_time: 451.37407 +Current_accuracy : 97.500, Current_norm_ED : 0.9943 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2843 | 2843 | 0.9946 True +6313 | 6313 | 0.9905 True +-------------------------------------------------------------------------------- +[1575/3000] Train loss: 0.00096, Valid loss: 0.00815, Elapsed_time: 452.70299 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4472 | 4472 | 0.5666 True +6914 | 6914 | 0.9956 True +-------------------------------------------------------------------------------- +[1580/3000] Train loss: 0.01523, Valid loss: 0.00707, Elapsed_time: 453.99561 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9966 True +9589 | 9589 | 0.9913 True +-------------------------------------------------------------------------------- +[1585/3000] Train loss: 0.00082, Valid loss: 0.00660, Elapsed_time: 455.31743 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 9442 | 0.9974 True +0273 | 0273 | 0.9979 True +-------------------------------------------------------------------------------- +[1590/3000] Train loss: 0.00072, Valid loss: 0.00590, Elapsed_time: 456.54142 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8461 | 8461 | 0.9952 True +6910 | 6910 | 0.9977 True +-------------------------------------------------------------------------------- +[1595/3000] Train loss: 0.00070, Valid loss: 0.00582, Elapsed_time: 457.78226 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7110 | 7110 | 0.9674 True +0340 | 0340 | 0.9966 True +-------------------------------------------------------------------------------- +[1600/3000] Train loss: 0.00155, Valid loss: 0.00432, Elapsed_time: 459.31991 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 4301 | 0.9987 True +5529 | 5529 | 0.8242 True +-------------------------------------------------------------------------------- +[1605/3000] Train loss: 0.00170, Valid loss: 0.01034, Elapsed_time: 460.63534 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.9970 True +6914 | 6914 | 0.9953 True +-------------------------------------------------------------------------------- +[1610/3000] Train loss: 0.00079, Valid loss: 0.00627, Elapsed_time: 461.91672 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.9971 True +8773 | 8773 | 0.9912 True +-------------------------------------------------------------------------------- +[1615/3000] Train loss: 0.00089, Valid loss: 0.03248, Elapsed_time: 463.22458 +Current_accuracy : 97.000, Current_norm_ED : 0.9928 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8027 | 8027 | 0.9930 True +0474 | 0474 | 0.9969 True +-------------------------------------------------------------------------------- +[1620/3000] Train loss: 0.00070, Valid loss: 0.01137, Elapsed_time: 464.50298 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3723 | 3723 | 0.9938 True +7209 | 7209 | 0.9808 True +-------------------------------------------------------------------------------- +[1625/3000] Train loss: 0.00071, Valid loss: 0.00700, Elapsed_time: 465.77864 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 9511 | 0.8148 True +8096 | 8096 | 0.9976 True +-------------------------------------------------------------------------------- +[1630/3000] Train loss: 0.00065, Valid loss: 0.00555, Elapsed_time: 467.07633 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1618 | 1618 | 0.9983 True +9335 | 9335 | 0.9977 True +-------------------------------------------------------------------------------- +[1635/3000] Train loss: 0.00057, Valid loss: 0.00583, Elapsed_time: 468.64477 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2003 | 0.9936 True +9589 | 9589 | 0.9926 True +-------------------------------------------------------------------------------- +[1640/3000] Train loss: 0.00057, Valid loss: 0.00592, Elapsed_time: 470.47894 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0298 | 0298 | 0.9981 True +3067 | 3067 | 0.9988 True +-------------------------------------------------------------------------------- +[1645/3000] Train loss: 0.00047, Valid loss: 0.00561, Elapsed_time: 471.76139 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7453 | 7453 | 0.9970 True +5415 | 5415 | 0.9984 True +-------------------------------------------------------------------------------- +[1650/3000] Train loss: 0.00048, Valid loss: 0.00541, Elapsed_time: 473.06441 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6217 | 6217 | 0.9988 True +9220 | 9220 | 0.9983 True +-------------------------------------------------------------------------------- +[1655/3000] Train loss: 0.00044, Valid loss: 0.00601, Elapsed_time: 474.33236 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.9980 True +3590 | 3590 | 0.9970 True +-------------------------------------------------------------------------------- +[1660/3000] Train loss: 0.00046, Valid loss: 0.00549, Elapsed_time: 475.59906 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.9376 True +2598 | 2598 | 0.9982 True +-------------------------------------------------------------------------------- +[1665/3000] Train loss: 0.00052, Valid loss: 0.00559, Elapsed_time: 477.19794 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.9455 True +6217 | 6217 | 0.9988 True +-------------------------------------------------------------------------------- +[1670/3000] Train loss: 0.00044, Valid loss: 0.00541, Elapsed_time: 478.53298 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6620 | 6620 | 0.8625 True +5239 | 5239 | 0.9989 True +-------------------------------------------------------------------------------- +[1675/3000] Train loss: 0.00038, Valid loss: 0.00518, Elapsed_time: 479.81762 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4783 | 4783 | 0.9995 True +2365 | 2365 | 0.9980 True +-------------------------------------------------------------------------------- +[1680/3000] Train loss: 0.00038, Valid loss: 0.00512, Elapsed_time: 481.08560 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 1140 | 0.8415 True +9267 | 9267 | 0.9979 True +-------------------------------------------------------------------------------- +[1685/3000] Train loss: 0.00043, Valid loss: 0.00521, Elapsed_time: 482.38065 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3506 | 3506 | 0.9982 True +9700 | 9700 | 0.8631 True +-------------------------------------------------------------------------------- +[1690/3000] Train loss: 0.00036, Valid loss: 0.00631, Elapsed_time: 483.64926 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3067 | 3067 | 0.9990 True +5890 | 5890 | 0.9961 True +-------------------------------------------------------------------------------- +[1695/3000] Train loss: 0.00053, Valid loss: 0.00628, Elapsed_time: 484.91509 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4620 | 4620 | 0.9991 True +8841 | 8841 | 0.6600 True +-------------------------------------------------------------------------------- +[1700/3000] Train loss: 0.00034, Valid loss: 0.00491, Elapsed_time: 486.51104 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2239 | 2239 | 0.8267 True +0631 | 0631 | 0.9995 True +-------------------------------------------------------------------------------- +[1705/3000] Train loss: 0.00038, Valid loss: 0.00499, Elapsed_time: 487.76154 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9541 | 9541 | 0.9979 True +4066 | 4066 | 0.6805 True +-------------------------------------------------------------------------------- +[1710/3000] Train loss: 0.00034, Valid loss: 0.01031, Elapsed_time: 489.01645 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4317 | 4317 | 0.9991 True +9700 | 9700 | 0.8613 True +-------------------------------------------------------------------------------- +[1715/3000] Train loss: 0.00028, Valid loss: 0.01031, Elapsed_time: 490.28523 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7110 | 7110 | 0.9746 True +7667 | 76667 | 0.5612 False +-------------------------------------------------------------------------------- +[1720/3000] Train loss: 0.00043, Valid loss: 0.00477, Elapsed_time: 491.53178 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1737 | 1737 | 0.9981 True +3438 | 3438 | 0.9994 True +-------------------------------------------------------------------------------- +[1725/3000] Train loss: 0.00036, Valid loss: 0.00507, Elapsed_time: 492.80874 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8461 | 8461 | 0.9973 True +4217 | 4217 | 0.9991 True +-------------------------------------------------------------------------------- +[1730/3000] Train loss: 0.00026, Valid loss: 0.00505, Elapsed_time: 494.39940 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0663 | 0663 | 0.9965 True +7953 | 7953 | 0.9982 True +-------------------------------------------------------------------------------- +[1735/3000] Train loss: 0.00030, Valid loss: 0.00494, Elapsed_time: 495.69666 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1572 | 1572 | 0.9990 True +2737 | 2737 | 0.9948 True +-------------------------------------------------------------------------------- +[1740/3000] Train loss: 0.00034, Valid loss: 0.00477, Elapsed_time: 496.97556 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0056 | 0056 | 0.7167 True +1737 | 1737 | 0.9984 True +-------------------------------------------------------------------------------- +[1745/3000] Train loss: 0.00034, Valid loss: 0.00488, Elapsed_time: 498.23376 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0907 | 0907 | 0.9967 True +5812 | 5812 | 0.9983 True +-------------------------------------------------------------------------------- +[1750/3000] Train loss: 0.00028, Valid loss: 0.00500, Elapsed_time: 499.53975 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7010 | 7010 | 0.9994 True +8794 | 8794 | 0.9989 True +-------------------------------------------------------------------------------- +[1755/3000] Train loss: 0.00028, Valid loss: 0.00509, Elapsed_time: 500.86113 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6858 | 6858 | 0.9988 True +7253 | 7253 | 0.9965 True +-------------------------------------------------------------------------------- +[1760/3000] Train loss: 0.00166, Valid loss: 0.01555, Elapsed_time: 502.41148 +Current_accuracy : 98.000, Current_norm_ED : 0.9953 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8773 | 8773 | 0.9843 True +0543 | 0543 | 0.9995 True +-------------------------------------------------------------------------------- +[1765/3000] Train loss: 0.00034, Valid loss: 0.00893, Elapsed_time: 503.72129 +Current_accuracy : 98.000, Current_norm_ED : 0.9953 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 8967 | 0.9979 True +3560 | 3560 | 0.9988 True +-------------------------------------------------------------------------------- +[1770/3000] Train loss: 0.00030, Valid loss: 0.00760, Elapsed_time: 504.99723 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1618 | 1618 | 0.9987 True +3476 | 3476 | 0.9987 True +-------------------------------------------------------------------------------- +[1775/3000] Train loss: 0.00065, Valid loss: 0.01752, Elapsed_time: 506.26772 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7667 | 76667 | 0.5264 False +1346 | 1346 | 0.9986 True +-------------------------------------------------------------------------------- +[1780/3000] Train loss: 0.00029, Valid loss: 0.00667, Elapsed_time: 507.54169 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1796 | 1796 | 0.9986 True +4217 | 4217 | 0.9992 True +-------------------------------------------------------------------------------- +[1785/3000] Train loss: 0.00026, Valid loss: 0.00669, Elapsed_time: 508.79204 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.9706 True +6964 | 6964 | 0.9987 True +-------------------------------------------------------------------------------- +[1790/3000] Train loss: 0.00027, Valid loss: 0.00678, Elapsed_time: 510.07255 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5427 | 5427 | 0.9989 True +0631 | 0631 | 0.9997 True +-------------------------------------------------------------------------------- +[1795/3000] Train loss: 0.00026, Valid loss: 0.00636, Elapsed_time: 511.62435 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2239 | 2239 | 0.5555 True +2321 | 2321 | 0.9981 True +-------------------------------------------------------------------------------- +[1800/3000] Train loss: 0.00024, Valid loss: 0.00477, Elapsed_time: 512.89365 +Current_accuracy : 99.500, Current_norm_ED : 0.9990 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2433 | 2433 | 0.7692 True +2182 | 2182 | 0.9993 True +-------------------------------------------------------------------------------- +[1805/3000] Train loss: 0.00027, Valid loss: 0.00367, Elapsed_time: 514.49432 +Current_accuracy : 99.500, Current_norm_ED : 0.9990 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5468 | 5468 | 0.9984 True +6350 | 6350 | 0.9992 True +-------------------------------------------------------------------------------- +[1810/3000] Train loss: 0.00023, Valid loss: 0.00388, Elapsed_time: 515.79246 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6728 | 6728 | 0.9979 True +2375 | 2375 | 0.9990 True +-------------------------------------------------------------------------------- +[1815/3000] Train loss: 0.00027, Valid loss: 0.00398, Elapsed_time: 517.07703 +Current_accuracy : 99.500, Current_norm_ED : 0.9990 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0298 | 0298 | 0.9988 True +7682 | 7682 | 0.9995 True +-------------------------------------------------------------------------------- +[1820/3000] Train loss: 0.00030, Valid loss: 0.00345, Elapsed_time: 519.11495 +Current_accuracy : 99.500, Current_norm_ED : 0.9990 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1516 | 1516 | 0.9995 True +0593 | 0593 | 0.9996 True +-------------------------------------------------------------------------------- +[1825/3000] Train loss: 0.00023, Valid loss: 0.00338, Elapsed_time: 520.64248 +Current_accuracy : 99.500, Current_norm_ED : 0.9990 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2598 | 2598 | 0.9988 True +0298 | 0298 | 0.9988 True +-------------------------------------------------------------------------------- +[1830/3000] Train loss: 0.00023, Valid loss: 0.00322, Elapsed_time: 521.95322 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4620 | 4620 | 0.9994 True +8168 | 8168 | 0.9991 True +-------------------------------------------------------------------------------- +[1835/3000] Train loss: 0.00023, Valid loss: 0.00344, Elapsed_time: 523.19271 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4620 | 4620 | 0.9994 True +8290 | 8290 | 0.9993 True +-------------------------------------------------------------------------------- +[1840/3000] Train loss: 0.00023, Valid loss: 0.00322, Elapsed_time: 524.42493 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 0713 | 0.9991 True +3032 | 3032 | 0.9987 True +-------------------------------------------------------------------------------- +[1845/3000] Train loss: 0.00020, Valid loss: 0.00304, Elapsed_time: 525.67228 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0975 | 0975 | 0.9989 True +7781 | 7781 | 0.8320 True +-------------------------------------------------------------------------------- +[1850/3000] Train loss: 0.00022, Valid loss: 0.00315, Elapsed_time: 526.92046 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 99.500, Best_norm_ED : 0.9990 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 4923 | 0.9993 True +2164 | 2164 | 0.9992 True +-------------------------------------------------------------------------------- +[1855/3000] Train loss: 0.00020, Valid loss: 0.00278, Elapsed_time: 528.17754 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6620 | 6620 | 0.7872 True +6910 | 6910 | 0.9992 True +-------------------------------------------------------------------------------- +[1860/3000] Train loss: 0.00026, Valid loss: 0.00505, Elapsed_time: 530.35419 +Current_accuracy : 99.500, Current_norm_ED : 0.9990 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6693 | 6693 | 0.4554 True +3638 | 3638 | 0.9997 True +-------------------------------------------------------------------------------- +[1865/3000] Train loss: 0.00021, Valid loss: 0.00329, Elapsed_time: 531.65078 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 1914 | 0.9990 True +5415 | 5415 | 0.9996 True +-------------------------------------------------------------------------------- +[1870/3000] Train loss: 0.00020, Valid loss: 0.00637, Elapsed_time: 532.93294 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7010 | 7010 | 0.9996 True +6964 | 6964 | 0.9991 True +-------------------------------------------------------------------------------- +[1875/3000] Train loss: 0.00018, Valid loss: 0.00295, Elapsed_time: 534.20144 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3258 | 3258 | 0.9991 True +1914 | 1914 | 0.9990 True +-------------------------------------------------------------------------------- +[1880/3000] Train loss: 0.00018, Valid loss: 0.00284, Elapsed_time: 535.45194 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2894 | 2894 | 0.9995 True +6350 | 6350 | 0.9994 True +-------------------------------------------------------------------------------- +[1885/3000] Train loss: 0.00027, Valid loss: 0.00294, Elapsed_time: 536.73052 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.9566 True +7295 | 7295 | 0.9988 True +-------------------------------------------------------------------------------- +[1890/3000] Train loss: 0.00019, Valid loss: 0.00310, Elapsed_time: 538.30330 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0298 | 0298 | 0.9989 True +6574 | 6574 | 0.9986 True +-------------------------------------------------------------------------------- +[1895/3000] Train loss: 0.00019, Valid loss: 0.00299, Elapsed_time: 539.57721 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 0713 | 0.9992 True +7875 | 7875 | 0.9996 True +-------------------------------------------------------------------------------- +[1900/3000] Train loss: 0.00018, Valid loss: 0.00275, Elapsed_time: 540.85297 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6350 | 6350 | 0.9995 True +4317 | 4317 | 0.9995 True +-------------------------------------------------------------------------------- +[1905/3000] Train loss: 0.00019, Valid loss: 0.00295, Elapsed_time: 542.10638 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5415 | 5415 | 0.9996 True +9442 | 9442 | 0.9994 True +-------------------------------------------------------------------------------- +[1910/3000] Train loss: 0.00018, Valid loss: 0.00299, Elapsed_time: 543.34104 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 1140 | 0.8950 True +3476 | 3476 | 0.9995 True +-------------------------------------------------------------------------------- +[1915/3000] Train loss: 0.00019, Valid loss: 0.00297, Elapsed_time: 544.59501 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3409 | 3409 | 0.9985 True +6348 | 6348 | 0.9984 True +-------------------------------------------------------------------------------- +[1920/3000] Train loss: 0.00019, Valid loss: 0.00291, Elapsed_time: 546.10867 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.9521 True +7016 | 7016 | 0.9993 True +-------------------------------------------------------------------------------- +[1925/3000] Train loss: 0.00020, Valid loss: 0.00285, Elapsed_time: 547.35761 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7803 | 7803 | 0.9993 True +5239 | 5239 | 0.9995 True +-------------------------------------------------------------------------------- +[1930/3000] Train loss: 0.00016, Valid loss: 0.00287, Elapsed_time: 548.60035 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7014 | 7014 | 0.9978 True +1736 | 1736 | 0.9988 True +-------------------------------------------------------------------------------- +[1935/3000] Train loss: 0.00016, Valid loss: 0.00287, Elapsed_time: 549.91550 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 2164 | 0.9995 True +8461 | 8461 | 0.9987 True +-------------------------------------------------------------------------------- +[1940/3000] Train loss: 0.00017, Valid loss: 0.00265, Elapsed_time: 551.70698 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.9561 True +1796 | 1796 | 0.9992 True +-------------------------------------------------------------------------------- +[1945/3000] Train loss: 0.00016, Valid loss: 0.00262, Elapsed_time: 552.95934 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.9595 True +8744 | 8744 | 0.8591 True +-------------------------------------------------------------------------------- +[1950/3000] Train loss: 0.00016, Valid loss: 0.00304, Elapsed_time: 554.23361 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.9958 True +3590 | 3590 | 0.9990 True +-------------------------------------------------------------------------------- +[1955/3000] Train loss: 0.00022, Valid loss: 0.00298, Elapsed_time: 555.84388 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9995 True +4620 | 4620 | 0.9995 True +-------------------------------------------------------------------------------- +[1960/3000] Train loss: 0.00017, Valid loss: 0.00234, Elapsed_time: 557.09657 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7875 | 7875 | 0.9997 True +9163 | 9163 | 0.9996 True +-------------------------------------------------------------------------------- +[1965/3000] Train loss: 0.00016, Valid loss: 0.00223, Elapsed_time: 558.36100 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6858 | 6858 | 0.9991 True +9163 | 9163 | 0.9995 True +-------------------------------------------------------------------------------- +[1970/3000] Train loss: 0.00016, Valid loss: 0.00216, Elapsed_time: 559.63837 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8286 | 8286 | 0.9993 True +9033 | 9033 | 0.7399 True +-------------------------------------------------------------------------------- +[1975/3000] Train loss: 0.00017, Valid loss: 0.00454, Elapsed_time: 560.86309 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 2768 | 0.9943 True +3937 | 3937 | 0.9997 True +-------------------------------------------------------------------------------- +[1980/3000] Train loss: 0.00015, Valid loss: 0.00425, Elapsed_time: 562.11687 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5944 | 5944 | 0.8329 True +8872 | 8872 | 0.6520 True +-------------------------------------------------------------------------------- +[1985/3000] Train loss: 0.00014, Valid loss: 0.00452, Elapsed_time: 563.65910 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6693 | 693 | 0.4869 False +0713 | 0713 | 0.9994 True +-------------------------------------------------------------------------------- +[1990/3000] Train loss: 0.00017, Valid loss: 0.00248, Elapsed_time: 565.01249 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9996 True +3476 | 3476 | 0.9996 True +-------------------------------------------------------------------------------- +[1995/3000] Train loss: 0.00015, Valid loss: 0.00465, Elapsed_time: 566.28713 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2003 | 0.9989 True +7667 | 7667 | 0.4940 True +-------------------------------------------------------------------------------- +[2000/3000] Train loss: 0.08811, Valid loss: 0.21693, Elapsed_time: 567.55679 +Current_accuracy : 87.500, Current_norm_ED : 0.9690 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3409 | 3409 | 0.9988 True +8575 | 8575 | 0.9997 True +-------------------------------------------------------------------------------- +[2005/3000] Train loss: 0.01213, Valid loss: 0.07669, Elapsed_time: 568.83299 +Current_accuracy : 94.000, Current_norm_ED : 0.9828 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.9981 True +1346 | 1346 | 0.9989 True +-------------------------------------------------------------------------------- +[2010/3000] Train loss: 0.00182, Valid loss: 0.01523, Elapsed_time: 570.10352 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2003 | 0.9985 True +9885 | 9885 | 0.9976 True +-------------------------------------------------------------------------------- +[2015/3000] Train loss: 0.00460, Valid loss: 0.04989, Elapsed_time: 571.37369 +Current_accuracy : 94.500, Current_norm_ED : 0.9865 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3506 | 3506 | 0.9991 True +7695 | 7695 | 0.9980 True +-------------------------------------------------------------------------------- +[2020/3000] Train loss: 0.00031, Valid loss: 0.01177, Elapsed_time: 572.94588 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6617 | 6617 | 0.8656 True +4066 | 4066 | 0.5432 True +-------------------------------------------------------------------------------- +[2025/3000] Train loss: 0.00034, Valid loss: 0.00817, Elapsed_time: 574.19865 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2239 | 2239 | 0.6381 True +4952 | 4952 | 0.9996 True +-------------------------------------------------------------------------------- +[2030/3000] Train loss: 0.00031, Valid loss: 0.00808, Elapsed_time: 575.46478 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9220 | 9220 | 0.9994 True +5468 | 5468 | 0.9992 True +-------------------------------------------------------------------------------- +[2035/3000] Train loss: 0.00032, Valid loss: 0.00892, Elapsed_time: 576.74114 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6858 | 6858 | 0.9986 True +9033 | 9033 | 0.7798 True +-------------------------------------------------------------------------------- +[2040/3000] Train loss: 0.00023, Valid loss: 0.00906, Elapsed_time: 577.97781 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9335 | 9335 | 0.9991 True +0034 | 0034 | 0.9255 True +-------------------------------------------------------------------------------- +[2045/3000] Train loss: 0.00029, Valid loss: 0.00589, Elapsed_time: 579.23722 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.9945 True +1372 | 1372 | 0.9993 True +-------------------------------------------------------------------------------- +[2050/3000] Train loss: 0.00023, Valid loss: 0.00533, Elapsed_time: 580.79631 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1516 | 1516 | 0.9995 True +0713 | 0713 | 0.9992 True +-------------------------------------------------------------------------------- +[2055/3000] Train loss: 0.00020, Valid loss: 0.00506, Elapsed_time: 582.02596 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7028 | 7028 | 0.9998 True +6852 | 6852 | 0.9982 True +-------------------------------------------------------------------------------- +[2060/3000] Train loss: 0.00023, Valid loss: 0.00517, Elapsed_time: 583.83349 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3848 | 3848 | 0.9992 True +1914 | 1914 | 0.9993 True +-------------------------------------------------------------------------------- +[2065/3000] Train loss: 0.00029, Valid loss: 0.00520, Elapsed_time: 585.07286 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.9997 True +1346 | 1346 | 0.9992 True +-------------------------------------------------------------------------------- +[2070/3000] Train loss: 0.00021, Valid loss: 0.00529, Elapsed_time: 586.32614 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 4405 | 0.9580 True +6787 | 6787 | 0.9869 True +-------------------------------------------------------------------------------- +[2075/3000] Train loss: 0.00023, Valid loss: 0.00471, Elapsed_time: 587.60545 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5890 | 5890 | 0.9991 True +8096 | 8096 | 0.9992 True +-------------------------------------------------------------------------------- +[2080/3000] Train loss: 0.00030, Valid loss: 0.00354, Elapsed_time: 589.15396 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8794 | 8794 | 0.9993 True +4962 | 4962 | 0.9996 True +-------------------------------------------------------------------------------- +[2085/3000] Train loss: 0.00018, Valid loss: 0.00406, Elapsed_time: 590.43907 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9715 | 9715 | 0.9968 True +6787 | 6787 | 0.9884 True +-------------------------------------------------------------------------------- +[2090/3000] Train loss: 0.00018, Valid loss: 0.00433, Elapsed_time: 591.72567 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8907 | 8907 | 0.9981 True +9335 | 9335 | 0.9993 True +-------------------------------------------------------------------------------- +[2095/3000] Train loss: 0.00019, Valid loss: 0.00410, Elapsed_time: 592.98738 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2134 | 2134 | 0.9989 True +6910 | 6910 | 0.9990 True +-------------------------------------------------------------------------------- +[2100/3000] Train loss: 0.00017, Valid loss: 0.00440, Elapsed_time: 594.24501 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9988 True +6217 | 6217 | 0.9991 True +-------------------------------------------------------------------------------- +[2105/3000] Train loss: 0.00021, Valid loss: 0.00668, Elapsed_time: 595.47489 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4287 | 4287 | 0.9997 True +5415 | 5415 | 0.9988 True +-------------------------------------------------------------------------------- +[2110/3000] Train loss: 0.00018, Valid loss: 0.00680, Elapsed_time: 596.75544 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2321 | 2321 | 0.9987 True +0631 | 0631 | 0.9997 True +-------------------------------------------------------------------------------- +[2115/3000] Train loss: 0.00019, Valid loss: 0.01107, Elapsed_time: 598.31188 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3351 | 3351 | 0.9689 True +5236 | 5236 | 0.9992 True +-------------------------------------------------------------------------------- +[2120/3000] Train loss: 0.00016, Valid loss: 0.00807, Elapsed_time: 599.57104 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3361 | 3361 | 0.5738 True +7822 | 7822 | 0.9265 True +-------------------------------------------------------------------------------- +[2125/3000] Train loss: 0.00017, Valid loss: 0.00737, Elapsed_time: 600.84883 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.6746 True +0056 | 0056 | 0.7510 True +-------------------------------------------------------------------------------- +[2130/3000] Train loss: 0.00018, Valid loss: 0.00593, Elapsed_time: 602.13934 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0273 | 0273 | 0.9997 True +2742 | 2742 | 0.9858 True +-------------------------------------------------------------------------------- +[2135/3000] Train loss: 0.00017, Valid loss: 0.00633, Elapsed_time: 603.39758 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5812 | 5812 | 0.9984 True +1982 | 1982 | 0.9997 True +-------------------------------------------------------------------------------- +[2140/3000] Train loss: 0.00017, Valid loss: 0.00640, Elapsed_time: 604.63640 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8286 | 8286 | 0.9992 True +3067 | 3067 | 0.9996 True +-------------------------------------------------------------------------------- +[2145/3000] Train loss: 0.00015, Valid loss: 0.00557, Elapsed_time: 606.20317 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4783 | 4783 | 0.9998 True +0702 | 0702 | 0.9990 True +-------------------------------------------------------------------------------- +[2150/3000] Train loss: 0.00016, Valid loss: 0.00582, Elapsed_time: 607.54812 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7295 | 7295 | 0.9993 True +1796 | 1796 | 0.9992 True +-------------------------------------------------------------------------------- +[2155/3000] Train loss: 0.00015, Valid loss: 0.01297, Elapsed_time: 608.83903 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8243 | 8243 | 0.9997 True +8168 | 8168 | 0.9993 True +-------------------------------------------------------------------------------- +[2160/3000] Train loss: 0.00017, Valid loss: 0.00586, Elapsed_time: 610.11658 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4620 | 4620 | 0.9996 True +1914 | 1914 | 0.9994 True +-------------------------------------------------------------------------------- +[2165/3000] Train loss: 0.00014, Valid loss: 0.00536, Elapsed_time: 611.36022 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4217 | 4217 | 0.9995 True +3937 | 3937 | 0.9997 True +-------------------------------------------------------------------------------- +[2170/3000] Train loss: 0.00017, Valid loss: 0.00520, Elapsed_time: 612.60192 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0298 | 0298 | 0.9991 True +2375 | 2375 | 0.9994 True +-------------------------------------------------------------------------------- +[2175/3000] Train loss: 0.00016, Valid loss: 0.00520, Elapsed_time: 613.89083 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4472 | 4472 | 0.6860 True +7803 | 7803 | 0.9994 True +-------------------------------------------------------------------------------- +[2180/3000] Train loss: 0.00013, Valid loss: 0.00497, Elapsed_time: 615.50314 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1407 | 1407 | 0.9987 True +3389 | 3389 | 0.8151 True +-------------------------------------------------------------------------------- +[2185/3000] Train loss: 0.00014, Valid loss: 0.00467, Elapsed_time: 617.39129 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8773 | 8773 | 0.9931 True +6620 | 6620 | 0.7819 True +-------------------------------------------------------------------------------- +[2190/3000] Train loss: 0.00014, Valid loss: 0.00502, Elapsed_time: 618.64370 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.9956 True +5888 | 5888 | 0.5971 True +-------------------------------------------------------------------------------- +[2195/3000] Train loss: 0.00016, Valid loss: 0.00489, Elapsed_time: 619.88594 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6728 | 6728 | 0.9990 True +7295 | 7295 | 0.9993 True +-------------------------------------------------------------------------------- +[2200/3000] Train loss: 0.00014, Valid loss: 0.00478, Elapsed_time: 621.12325 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0034 | 0034 | 0.9304 True +1289 | 1289 | 0.9993 True +-------------------------------------------------------------------------------- +[2205/3000] Train loss: 0.00015, Valid loss: 0.00725, Elapsed_time: 622.39042 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5888 | 5888 | 0.5110 True +5236 | 5236 | 0.9993 True +-------------------------------------------------------------------------------- +[2210/3000] Train loss: 0.00013, Valid loss: 0.00541, Elapsed_time: 623.98371 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6217 | 6217 | 0.9992 True +7695 | 7695 | 0.9984 True +-------------------------------------------------------------------------------- +[2215/3000] Train loss: 0.00013, Valid loss: 0.00658, Elapsed_time: 625.30759 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 8967 | 0.9992 True +1960 | 1960 | 0.9998 True +-------------------------------------------------------------------------------- +[2220/3000] Train loss: 0.00013, Valid loss: 0.00572, Elapsed_time: 626.61550 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5415 | 5415 | 0.9994 True +1736 | 1736 | 0.9993 True +-------------------------------------------------------------------------------- +[2225/3000] Train loss: 0.00014, Valid loss: 0.00725, Elapsed_time: 627.86612 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1156 | 1156 | 0.5322 True +3389 | 3389 | 0.7719 True +-------------------------------------------------------------------------------- +[2230/3000] Train loss: 0.00015, Valid loss: 0.00752, Elapsed_time: 629.14761 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1618 | 1618 | 0.9989 True +6313 | 6313 | 0.9991 True +-------------------------------------------------------------------------------- +[2235/3000] Train loss: 0.00014, Valid loss: 0.00658, Elapsed_time: 630.40106 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2182 | 2182 | 0.9997 True +8243 | 8243 | 0.9997 True +-------------------------------------------------------------------------------- +[2240/3000] Train loss: 0.00018, Valid loss: 0.00444, Elapsed_time: 631.96781 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5627 | 5627 | 0.9997 True +2375 | 2375 | 0.9995 True +-------------------------------------------------------------------------------- +[2245/3000] Train loss: 0.00012, Valid loss: 0.00428, Elapsed_time: 633.27460 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.9998 True +5236 | 5236 | 0.9995 True +-------------------------------------------------------------------------------- +[2250/3000] Train loss: 0.00013, Valid loss: 0.00471, Elapsed_time: 634.56735 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1090 | 1090 | 0.9996 True +3409 | 3409 | 0.9993 True +-------------------------------------------------------------------------------- +[2255/3000] Train loss: 0.00013, Valid loss: 0.00438, Elapsed_time: 635.81887 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0273 | 0273 | 0.9998 True +0474 | 0474 | 0.9990 True +-------------------------------------------------------------------------------- +[2260/3000] Train loss: 0.00013, Valid loss: 0.00510, Elapsed_time: 637.18225 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9335 | 9335 | 0.9993 True +4217 | 4217 | 0.9996 True +-------------------------------------------------------------------------------- +[2265/3000] Train loss: 0.00013, Valid loss: 0.00662, Elapsed_time: 638.54018 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6077 | 6077 | 0.4692 True +5890 | 5890 | 0.9994 True +-------------------------------------------------------------------------------- +[2270/3000] Train loss: 0.00012, Valid loss: 0.00550, Elapsed_time: 639.87150 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3297 | 3297 | 0.9983 True +3723 | 3723 | 0.9993 True +-------------------------------------------------------------------------------- +[2275/3000] Train loss: 0.00013, Valid loss: 0.00386, Elapsed_time: 641.59927 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1572 | 1572 | 0.9997 True +7822 | 7822 | 0.9386 True +-------------------------------------------------------------------------------- +[2280/3000] Train loss: 0.00012, Valid loss: 0.00379, Elapsed_time: 643.09227 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4217 | 4217 | 0.9996 True +1982 | 1982 | 0.9998 True +-------------------------------------------------------------------------------- +[2285/3000] Train loss: 0.00012, Valid loss: 0.00480, Elapsed_time: 644.35365 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9220 | 9220 | 0.9996 True +4685 | 4685 | 0.9980 True +-------------------------------------------------------------------------------- +[2290/3000] Train loss: 0.00012, Valid loss: 0.00500, Elapsed_time: 645.60166 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 2365 | 0.9993 True +8262 | 8262 | 0.9997 True +-------------------------------------------------------------------------------- +[2295/3000] Train loss: 0.00011, Valid loss: 0.00602, Elapsed_time: 646.83372 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2134 | 2134 | 0.9995 True +3389 | 3389 | 0.6345 True +-------------------------------------------------------------------------------- +[2300/3000] Train loss: 0.00012, Valid loss: 0.00632, Elapsed_time: 648.09787 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6348 | 6348 | 0.9987 True +5415 | 5415 | 0.9995 True +-------------------------------------------------------------------------------- +[2305/3000] Train loss: 0.00012, Valid loss: 0.00767, Elapsed_time: 650.24849 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8243 | 8243 | 0.9998 True +5735 | 5735 | 0.9989 True +-------------------------------------------------------------------------------- +[2310/3000] Train loss: 0.00012, Valid loss: 0.00597, Elapsed_time: 651.58109 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7953 | 7953 | 0.9994 True +0617 | 0617 | 0.9996 True +-------------------------------------------------------------------------------- +[2315/3000] Train loss: 0.00011, Valid loss: 0.00573, Elapsed_time: 652.84697 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9163 | 9163 | 0.9997 True +3723 | 3723 | 0.9995 True +-------------------------------------------------------------------------------- +[2320/3000] Train loss: 0.00013, Valid loss: 0.00609, Elapsed_time: 654.10967 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 8967 | 0.9993 True +4472 | 4472 | 0.4942 True +-------------------------------------------------------------------------------- +[2325/3000] Train loss: 0.00014, Valid loss: 0.00628, Elapsed_time: 655.33862 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6077 | 6077 | 0.4737 True +5890 | 5890 | 0.9994 True +-------------------------------------------------------------------------------- +[2330/3000] Train loss: 0.00010, Valid loss: 0.00643, Elapsed_time: 656.61338 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0593 | 0593 | 0.9998 True +7810 | 7810 | 0.9998 True +-------------------------------------------------------------------------------- +[2335/3000] Train loss: 0.00038, Valid loss: 0.01549, Elapsed_time: 657.83306 +Current_accuracy : 97.500, Current_norm_ED : 0.9940 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 2768 | 0.9967 True +2239 | 2239 | 0.8762 True +-------------------------------------------------------------------------------- +[2340/3000] Train loss: 0.00143, Valid loss: 0.01642, Elapsed_time: 659.35459 +Current_accuracy : 98.500, Current_norm_ED : 0.9965 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 4301 | 0.9987 True +9715 | 9715 | 0.9493 True +-------------------------------------------------------------------------------- +[2345/3000] Train loss: 0.00015, Valid loss: 0.00479, Elapsed_time: 660.63131 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9994 True +5427 | 5427 | 0.9993 True +-------------------------------------------------------------------------------- +[2350/3000] Train loss: 0.00026, Valid loss: 0.00495, Elapsed_time: 661.93930 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 8841 | 0.5315 True +3450 | 3450 | 0.9997 True +-------------------------------------------------------------------------------- +[2355/3000] Train loss: 0.00016, Valid loss: 0.00483, Elapsed_time: 663.26276 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8243 | 8243 | 0.9996 True +6313 | 6313 | 0.9994 True +-------------------------------------------------------------------------------- +[2360/3000] Train loss: 0.00015, Valid loss: 0.00460, Elapsed_time: 664.50312 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 2768 | 0.9985 True +8262 | 8262 | 0.9998 True +-------------------------------------------------------------------------------- +[2365/3000] Train loss: 0.00013, Valid loss: 0.00438, Elapsed_time: 665.73553 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6367 | 6367 | 0.9996 True +4685 | 4685 | 0.9969 True +-------------------------------------------------------------------------------- +[2370/3000] Train loss: 0.00014, Valid loss: 0.00459, Elapsed_time: 667.30852 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1982 | 1982 | 0.9996 True +6787 | 6787 | 0.9871 True +-------------------------------------------------------------------------------- +[2375/3000] Train loss: 0.00013, Valid loss: 0.00434, Elapsed_time: 668.62365 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3638 | 3638 | 0.9998 True +1289 | 1289 | 0.9992 True +-------------------------------------------------------------------------------- +[2380/3000] Train loss: 0.00011, Valid loss: 0.00451, Elapsed_time: 669.88621 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6574 | 6574 | 0.9995 True +7253 | 7253 | 0.9961 True +-------------------------------------------------------------------------------- +[2385/3000] Train loss: 0.00013, Valid loss: 0.00418, Elapsed_time: 671.13017 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7764 | 7764 | 0.5843 True +4301 | 4301 | 0.9998 True +-------------------------------------------------------------------------------- +[2390/3000] Train loss: 0.00012, Valid loss: 0.00455, Elapsed_time: 672.42197 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9996 True +9139 | 9139 | 0.9998 True +-------------------------------------------------------------------------------- +[2395/3000] Train loss: 0.00012, Valid loss: 0.00462, Elapsed_time: 673.67142 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6964 | 6964 | 0.9994 True +6787 | 6787 | 0.9876 True +-------------------------------------------------------------------------------- +[2400/3000] Train loss: 0.00012, Valid loss: 0.00468, Elapsed_time: 675.26510 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7781 | 7781 | 0.5597 True +8243 | 8243 | 0.9997 True +-------------------------------------------------------------------------------- +[2405/3000] Train loss: 0.00011, Valid loss: 0.00447, Elapsed_time: 676.51679 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5236 | 5236 | 0.9997 True +0273 | 0273 | 0.9997 True +-------------------------------------------------------------------------------- +[2410/3000] Train loss: 0.00011, Valid loss: 0.00434, Elapsed_time: 677.81846 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3450 | 3450 | 0.9998 True +8744 | 8744 | 0.8966 True +-------------------------------------------------------------------------------- +[2415/3000] Train loss: 0.00013, Valid loss: 0.00440, Elapsed_time: 679.07711 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6919 | 6919 | 0.9993 True +7014 | 7014 | 0.9991 True +-------------------------------------------------------------------------------- +[2420/3000] Train loss: 0.00011, Valid loss: 0.00454, Elapsed_time: 680.33288 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2843 | 2843 | 0.9992 True +1156 | 1156 | 0.8905 True +-------------------------------------------------------------------------------- +[2425/3000] Train loss: 0.00011, Valid loss: 0.00529, Elapsed_time: 681.59297 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9589 | 9589 | 0.9984 True +7822 | 7822 | 0.5232 True +-------------------------------------------------------------------------------- +[2430/3000] Train loss: 0.00012, Valid loss: 0.00500, Elapsed_time: 683.50493 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6617 | 6617 | 0.7157 True +4685 | 4685 | 0.9983 True +-------------------------------------------------------------------------------- +[2435/3000] Train loss: 0.00012, Valid loss: 0.00521, Elapsed_time: 685.09341 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0543 | 0543 | 0.9998 True +0631 | 0631 | 0.9999 True +-------------------------------------------------------------------------------- +[2440/3000] Train loss: 0.00011, Valid loss: 0.00498, Elapsed_time: 686.36942 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4638 | 4638 | 0.9991 True +7253 | 7253 | 0.9972 True +-------------------------------------------------------------------------------- +[2445/3000] Train loss: 0.00009, Valid loss: 0.00488, Elapsed_time: 687.65729 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9163 | 9163 | 0.9998 True +1873 | 1873 | 0.9998 True +-------------------------------------------------------------------------------- +[2450/3000] Train loss: 0.00011, Valid loss: 0.00495, Elapsed_time: 688.94969 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8286 | 8286 | 0.9994 True +0567 | 0567 | 0.9997 True +-------------------------------------------------------------------------------- +[2455/3000] Train loss: 0.00010, Valid loss: 0.00484, Elapsed_time: 690.22190 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0034 | 0034 | 0.6878 True +3574 | 3574 | 0.9997 True +-------------------------------------------------------------------------------- +[2460/3000] Train loss: 0.00009, Valid loss: 0.00481, Elapsed_time: 691.50978 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6914 | 6914 | 0.9987 True +0228 | 0228 | 0.9997 True +-------------------------------------------------------------------------------- +[2465/3000] Train loss: 0.00010, Valid loss: 0.00464, Elapsed_time: 693.04229 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5538 | 5538 | 0.6840 True +0469 | 0469 | 0.9996 True +-------------------------------------------------------------------------------- +[2470/3000] Train loss: 0.00011, Valid loss: 0.00445, Elapsed_time: 694.34087 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2134 | 2134 | 0.9989 True +4923 | 4923 | 0.9997 True +-------------------------------------------------------------------------------- +[2475/3000] Train loss: 0.00010, Valid loss: 0.00458, Elapsed_time: 695.60199 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9267 | 9267 | 0.9996 True +0034 | 0034 | 0.7368 True +-------------------------------------------------------------------------------- +[2480/3000] Train loss: 0.00010, Valid loss: 0.00479, Elapsed_time: 696.84043 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5888 | 5888 | 0.5307 True +3848 | 3848 | 0.9996 True +-------------------------------------------------------------------------------- +[2485/3000] Train loss: 0.00009, Valid loss: 0.00495, Elapsed_time: 698.13481 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6348 | 6348 | 0.9989 True +0631 | 0631 | 0.9999 True +-------------------------------------------------------------------------------- +[2490/3000] Train loss: 0.00009, Valid loss: 0.00440, Elapsed_time: 699.36637 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 2768 | 0.9987 True +4405 | 4405 | 0.6083 True +-------------------------------------------------------------------------------- +[2495/3000] Train loss: 0.00010, Valid loss: 0.00445, Elapsed_time: 700.63659 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0543 | 0543 | 0.9999 True +8834 | 8834 | 0.4640 True +-------------------------------------------------------------------------------- +[2500/3000] Train loss: 0.00010, Valid loss: 0.00964, Elapsed_time: 702.27866 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4569 | 4569 | 0.9998 True +4459 | 4459 | 0.8711 True +-------------------------------------------------------------------------------- +[2505/3000] Train loss: 0.00010, Valid loss: 0.00418, Elapsed_time: 703.55061 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6910 | 6910 | 0.9996 True +2768 | 2768 | 0.9985 True +-------------------------------------------------------------------------------- +[2510/3000] Train loss: 0.00010, Valid loss: 0.00458, Elapsed_time: 704.81219 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0627 | 0627 | 0.9997 True +1737 | 1737 | 0.9994 True +-------------------------------------------------------------------------------- +[2515/3000] Train loss: 0.00028, Valid loss: 0.00768, Elapsed_time: 706.09356 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6693 | 693 | 0.6975 False +9571 | 9571 | 0.9979 True +-------------------------------------------------------------------------------- +[2520/3000] Train loss: 0.00015, Valid loss: 0.00886, Elapsed_time: 707.33253 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2321 | 2321 | 0.9993 True +2843 | 2843 | 0.9993 True +-------------------------------------------------------------------------------- +[2525/3000] Train loss: 0.00029, Valid loss: 0.00329, Elapsed_time: 708.61659 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8834 | 8834 | 0.5233 True +0713 | 0713 | 0.9997 True +-------------------------------------------------------------------------------- +[2530/3000] Train loss: 0.00013, Valid loss: 0.00353, Elapsed_time: 710.17155 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9139 | 9139 | 0.9998 True +7188 | 7188 | 0.4688 True +-------------------------------------------------------------------------------- +[2535/3000] Train loss: 0.00010, Valid loss: 0.00676, Elapsed_time: 711.44327 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6693 | 693 | 0.6486 False +1346 | 1346 | 0.9995 True +-------------------------------------------------------------------------------- +[2540/3000] Train loss: 0.00008, Valid loss: 0.00373, Elapsed_time: 712.75639 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6313 | 6313 | 0.9995 True +1156 | 1156 | 0.9210 True +-------------------------------------------------------------------------------- +[2545/3000] Train loss: 0.00009, Valid loss: 0.00391, Elapsed_time: 714.05743 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1141 | 1141 | 0.9045 True +4769 | 4769 | 0.9997 True +-------------------------------------------------------------------------------- +[2550/3000] Train loss: 0.00010, Valid loss: 0.00479, Elapsed_time: 715.93706 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7810 | 7810 | 0.9998 True +9414 | 9414 | 0.9972 True +-------------------------------------------------------------------------------- +[2555/3000] Train loss: 0.00010, Valid loss: 0.00423, Elapsed_time: 717.15112 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 4923 | 0.9997 True +7682 | 7682 | 0.9997 True +-------------------------------------------------------------------------------- +[2560/3000] Train loss: 0.00009, Valid loss: 0.00433, Elapsed_time: 718.67452 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.6056 True +8872 | 8872 | 0.9300 True +-------------------------------------------------------------------------------- +[2565/3000] Train loss: 0.00010, Valid loss: 0.00377, Elapsed_time: 719.95292 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8907 | 8907 | 0.9979 True +1796 | 1796 | 0.9997 True +-------------------------------------------------------------------------------- +[2570/3000] Train loss: 0.00008, Valid loss: 0.00394, Elapsed_time: 721.24375 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9335 | 9335 | 0.9995 True +2894 | 2894 | 0.9998 True +-------------------------------------------------------------------------------- +[2575/3000] Train loss: 0.00009, Valid loss: 0.00399, Elapsed_time: 722.46124 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 4923 | 0.9997 True +3937 | 3937 | 0.9998 True +-------------------------------------------------------------------------------- +[2580/3000] Train loss: 0.00009, Valid loss: 0.00414, Elapsed_time: 723.73903 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4459 | 4459 | 0.7212 True +2768 | 2768 | 0.9983 True +-------------------------------------------------------------------------------- +[2585/3000] Train loss: 0.00009, Valid loss: 0.00376, Elapsed_time: 725.00424 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9885 | 9885 | 0.9994 True +5165 | 5165 | 0.9999 True +-------------------------------------------------------------------------------- +[2590/3000] Train loss: 0.00009, Valid loss: 0.00375, Elapsed_time: 726.24444 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 9511 | 0.5148 True +3409 | 3409 | 0.9996 True +-------------------------------------------------------------------------------- +[2595/3000] Train loss: 0.22519, Valid loss: 0.00472, Elapsed_time: 727.80623 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6217 | 6217 | 0.9994 True +2017 | 2017 | 0.9978 True +-------------------------------------------------------------------------------- +[2600/3000] Train loss: 0.00020, Valid loss: 0.00354, Elapsed_time: 729.11850 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 8841 | 0.8996 True +4783 | 4783 | 0.9999 True +-------------------------------------------------------------------------------- +[2605/3000] Train loss: 0.00012, Valid loss: 0.00383, Elapsed_time: 730.38287 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0627 | 0627 | 0.9998 True +0567 | 0567 | 0.9997 True +-------------------------------------------------------------------------------- +[2610/3000] Train loss: 0.00010, Valid loss: 0.00386, Elapsed_time: 731.65552 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8096 | 8096 | 0.9997 True +0034 | 0034 | 0.9184 True +-------------------------------------------------------------------------------- +[2615/3000] Train loss: 0.00011, Valid loss: 0.00888, Elapsed_time: 732.90943 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1796 | 1796 | 0.9997 True +3389 | 3389 | 0.8048 True +-------------------------------------------------------------------------------- +[2620/3000] Train loss: 0.00012, Valid loss: 0.00353, Elapsed_time: 734.16206 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0034 | 0034 | 0.9016 True +1618 | 1618 | 0.9994 True +-------------------------------------------------------------------------------- +[2625/3000] Train loss: 0.00010, Valid loss: 0.00372, Elapsed_time: 735.71414 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8286 | 8286 | 0.9994 True +4923 | 4923 | 0.9996 True +-------------------------------------------------------------------------------- +[2630/3000] Train loss: 0.00010, Valid loss: 0.00410, Elapsed_time: 736.97006 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7453 | 7453 | 0.9993 True +8243 | 8243 | 0.9998 True +-------------------------------------------------------------------------------- +[2635/3000] Train loss: 0.00010, Valid loss: 0.00346, Elapsed_time: 738.23770 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3723 | 3723 | 0.9994 True +5538 | 5538 | 0.7028 True +-------------------------------------------------------------------------------- +[2640/3000] Train loss: 0.00010, Valid loss: 0.00368, Elapsed_time: 739.52984 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1383 | 1383 | 0.9997 True +3067 | 3067 | 0.9998 True +-------------------------------------------------------------------------------- +[2645/3000] Train loss: 0.00009, Valid loss: 0.00374, Elapsed_time: 740.76237 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5888 | 5888 | 0.5881 True +9589 | 9589 | 0.9990 True +-------------------------------------------------------------------------------- +[2650/3000] Train loss: 0.00009, Valid loss: 0.00363, Elapsed_time: 742.01144 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3574 | 3574 | 0.9997 True +3560 | 3560 | 0.9997 True +-------------------------------------------------------------------------------- +[2655/3000] Train loss: 0.00011, Valid loss: 0.00408, Elapsed_time: 743.26744 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.6734 True +4317 | 4317 | 0.9997 True +-------------------------------------------------------------------------------- +[2660/3000] Train loss: 0.00009, Valid loss: 0.00434, Elapsed_time: 744.86691 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7803 | 7803 | 0.9997 True +9442 | 9442 | 0.9998 True +-------------------------------------------------------------------------------- +[2665/3000] Train loss: 0.00009, Valid loss: 0.00570, Elapsed_time: 746.16792 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6617 | 6617 | 0.6720 True +1796 | 1796 | 0.9997 True +-------------------------------------------------------------------------------- +[2670/3000] Train loss: 0.00009, Valid loss: 0.00453, Elapsed_time: 747.44036 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2239 | 2239 | 0.8715 True +4731 | 4731 | 0.9999 True +-------------------------------------------------------------------------------- +[2675/3000] Train loss: 0.00009, Valid loss: 0.00607, Elapsed_time: 749.30407 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8770 | 8770 | 0.6409 True +6367 | 6367 | 0.9997 True +-------------------------------------------------------------------------------- +[2680/3000] Train loss: 0.00009, Valid loss: 0.00445, Elapsed_time: 750.56545 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7016 | 7016 | 0.9996 True +8773 | 8773 | 0.9926 True +-------------------------------------------------------------------------------- +[2685/3000] Train loss: 0.00009, Valid loss: 0.00418, Elapsed_time: 751.82424 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0631 | 0631 | 0.9999 True +7108 | 7108 | 0.9997 True +-------------------------------------------------------------------------------- +[2690/3000] Train loss: 0.00008, Valid loss: 0.00418, Elapsed_time: 753.36402 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8262 | 8262 | 0.9998 True +0056 | 0056 | 0.5287 True +-------------------------------------------------------------------------------- +[2695/3000] Train loss: 0.00008, Valid loss: 0.00423, Elapsed_time: 754.66895 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3476 | 3476 | 0.9998 True +1289 | 1289 | 0.9995 True +-------------------------------------------------------------------------------- +[2700/3000] Train loss: 0.00008, Valid loss: 0.00409, Elapsed_time: 755.96391 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 0469 | 0.9998 True +6617 | 6617 | 0.6651 True +-------------------------------------------------------------------------------- +[2705/3000] Train loss: 0.00009, Valid loss: 0.00417, Elapsed_time: 757.23265 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3937 | 3937 | 0.9998 True +5735 | 5735 | 0.9993 True +-------------------------------------------------------------------------------- +[2710/3000] Train loss: 0.00008, Valid loss: 0.00448, Elapsed_time: 758.50812 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5415 | 5415 | 0.9997 True +6852 | 6852 | 0.9994 True +-------------------------------------------------------------------------------- +[2715/3000] Train loss: 0.00008, Valid loss: 0.00448, Elapsed_time: 759.81664 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.9998 True +0663 | 0663 | 0.9966 True +-------------------------------------------------------------------------------- +[2720/3000] Train loss: 0.00009, Valid loss: 0.00448, Elapsed_time: 761.42925 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1372 | 1372 | 0.9993 True +9442 | 9442 | 0.9998 True +-------------------------------------------------------------------------------- +[2725/3000] Train loss: 0.00008, Valid loss: 0.00432, Elapsed_time: 762.76656 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4620 | 4620 | 0.9998 True +1572 | 1572 | 0.9995 True +-------------------------------------------------------------------------------- +[2730/3000] Train loss: 0.00009, Valid loss: 0.00430, Elapsed_time: 764.06549 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 4923 | 0.9997 True +2894 | 2894 | 0.9998 True +-------------------------------------------------------------------------------- +[2735/3000] Train loss: 0.00008, Valid loss: 0.00431, Elapsed_time: 765.36710 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6964 | 6964 | 0.9995 True +9335 | 9335 | 0.9994 True +-------------------------------------------------------------------------------- +[2740/3000] Train loss: 0.00007, Valid loss: 0.00408, Elapsed_time: 766.66908 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1873 | 1873 | 0.9999 True +1914 | 1914 | 0.9997 True +-------------------------------------------------------------------------------- +[2745/3000] Train loss: 0.00007, Valid loss: 0.00382, Elapsed_time: 767.89923 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 9511 | 0.8294 True +2737 | 2737 | 0.9986 True +-------------------------------------------------------------------------------- +[2750/3000] Train loss: 0.00007, Valid loss: 0.00381, Elapsed_time: 769.12727 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1618 | 1618 | 0.9996 True +9700 | 9700 | 0.8609 True +-------------------------------------------------------------------------------- +[2755/3000] Train loss: 0.00007, Valid loss: 0.00400, Elapsed_time: 770.71447 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9700 | 9700 | 0.8686 True +2375 | 2375 | 0.9997 True +-------------------------------------------------------------------------------- +[2760/3000] Train loss: 0.00009, Valid loss: 0.00444, Elapsed_time: 772.00175 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7110 | 7110 | 0.9936 True +7742 | 7742 | 0.7615 True +-------------------------------------------------------------------------------- +[2765/3000] Train loss: 0.00008, Valid loss: 0.00401, Elapsed_time: 773.29708 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3476 | 3476 | 0.9998 True +7209 | 7209 | 0.9986 True +-------------------------------------------------------------------------------- +[2770/3000] Train loss: 0.00007, Valid loss: 0.00340, Elapsed_time: 774.59209 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 1140 | 0.9536 True +6919 | 6919 | 0.9993 True +-------------------------------------------------------------------------------- +[2775/3000] Train loss: 0.00008, Valid loss: 0.00306, Elapsed_time: 775.86571 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4569 | 4569 | 0.9999 True +2768 | 2768 | 0.9983 True +-------------------------------------------------------------------------------- +[2780/3000] Train loss: 0.00008, Valid loss: 0.00481, Elapsed_time: 777.09689 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.9567 True +4962 | 4962 | 0.9998 True +-------------------------------------------------------------------------------- +[2785/3000] Train loss: 0.00009, Valid loss: 0.00465, Elapsed_time: 778.63884 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3032 | 3032 | 0.9996 True +0702 | 0702 | 0.9995 True +-------------------------------------------------------------------------------- +[2790/3000] Train loss: 0.00007, Valid loss: 0.00465, Elapsed_time: 779.99796 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8770 | 8770 | 0.6945 True +0816 | 0816 | 0.9996 True +-------------------------------------------------------------------------------- +[2795/3000] Train loss: 0.00008, Valid loss: 0.00267, Elapsed_time: 781.82249 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7108 | 7108 | 0.9997 True +3476 | 3476 | 0.9998 True +-------------------------------------------------------------------------------- +[2800/3000] Train loss: 0.00008, Valid loss: 0.00431, Elapsed_time: 783.12116 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7014 | 7014 | 0.9995 True +2433 | 2433 | 0.9176 True +-------------------------------------------------------------------------------- +[2805/3000] Train loss: 0.00008, Valid loss: 0.00430, Elapsed_time: 784.41194 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6617 | 6617 | 0.8107 True +4236 | 4236 | 0.9998 True +-------------------------------------------------------------------------------- +[2810/3000] Train loss: 0.00007, Valid loss: 0.00378, Elapsed_time: 785.68750 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7953 | 7953 | 0.9996 True +6787 | 6787 | 0.9913 True +-------------------------------------------------------------------------------- +[2815/3000] Train loss: 0.00010, Valid loss: 0.00364, Elapsed_time: 786.99017 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2843 | 2843 | 0.9995 True +6350 | 6350 | 0.9998 True +-------------------------------------------------------------------------------- +[2820/3000] Train loss: 0.00014, Valid loss: 0.00369, Elapsed_time: 788.57347 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4287 | 4287 | 0.9998 True +9335 | 9335 | 0.9996 True +-------------------------------------------------------------------------------- +[2825/3000] Train loss: 0.00007, Valid loss: 0.00382, Elapsed_time: 789.87741 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1372 | 1372 | 0.9995 True +7108 | 7108 | 0.9997 True +-------------------------------------------------------------------------------- +[2830/3000] Train loss: 0.00007, Valid loss: 0.00366, Elapsed_time: 791.16237 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 1289 | 0.9997 True +1873 | 1873 | 0.9999 True +-------------------------------------------------------------------------------- +[2835/3000] Train loss: 0.00007, Valid loss: 0.00388, Elapsed_time: 792.47934 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3476 | 3476 | 0.9998 True +2768 | 2768 | 0.9964 True +-------------------------------------------------------------------------------- +[2840/3000] Train loss: 0.00006, Valid loss: 0.00385, Elapsed_time: 793.75696 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6313 | 6313 | 0.9996 True +8027 | 8027 | 0.9996 True +-------------------------------------------------------------------------------- +[2845/3000] Train loss: 0.00008, Valid loss: 0.00896, Elapsed_time: 795.03143 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8461 | 8461 | 0.9996 True +7803 | 7803 | 0.9997 True +-------------------------------------------------------------------------------- +[2850/3000] Train loss: 0.00007, Valid loss: 0.00391, Elapsed_time: 796.61037 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 4405 | 0.8675 True +8834 | 8834 | 0.5526 True +-------------------------------------------------------------------------------- +[2855/3000] Train loss: 0.00008, Valid loss: 0.00370, Elapsed_time: 797.94107 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2665 | 0.9999 True +9220 | 9220 | 0.9997 True +-------------------------------------------------------------------------------- +[2860/3000] Train loss: 0.00007, Valid loss: 0.00382, Elapsed_time: 799.24628 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9885 | 9885 | 0.9995 True +0907 | 0907 | 0.9991 True +-------------------------------------------------------------------------------- +[2865/3000] Train loss: 0.00007, Valid loss: 0.00409, Elapsed_time: 800.51741 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2831 | 2831 | 0.9999 True +7209 | 7209 | 0.9995 True +-------------------------------------------------------------------------------- +[2870/3000] Train loss: 0.00006, Valid loss: 0.00370, Elapsed_time: 801.79863 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 4301 | 0.9999 True +0713 | 0713 | 0.9998 True +-------------------------------------------------------------------------------- +[2875/3000] Train loss: 0.00007, Valid loss: 0.00391, Elapsed_time: 803.02968 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4620 | 4620 | 0.9998 True +2375 | 2375 | 0.9997 True +-------------------------------------------------------------------------------- +[2880/3000] Train loss: 0.00006, Valid loss: 0.00368, Elapsed_time: 804.56529 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 4405 | 0.8835 True +7209 | 7209 | 0.9995 True +-------------------------------------------------------------------------------- +[2885/3000] Train loss: 0.00006, Valid loss: 0.00491, Elapsed_time: 805.84552 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7253 | 7253 | 0.9988 True +7764 | 7764 | 0.6482 True +-------------------------------------------------------------------------------- +[2890/3000] Train loss: 0.00007, Valid loss: 0.00365, Elapsed_time: 807.12537 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 1914 | 0.9997 True +9541 | 9541 | 0.9991 True +-------------------------------------------------------------------------------- +[2895/3000] Train loss: 0.00006, Valid loss: 0.00370, Elapsed_time: 808.40532 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9998 True +4405 | 4405 | 0.8713 True +-------------------------------------------------------------------------------- +[2900/3000] Train loss: 0.00007, Valid loss: 0.00387, Elapsed_time: 809.68996 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0056 | 0056 | 0.6096 True +4301 | 4301 | 0.9999 True +-------------------------------------------------------------------------------- +[2905/3000] Train loss: 0.00006, Valid loss: 0.00350, Elapsed_time: 810.93402 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 8841 | 0.6149 True +6728 | 6728 | 0.9995 True +-------------------------------------------------------------------------------- +[2910/3000] Train loss: 0.00006, Valid loss: 0.00343, Elapsed_time: 812.23056 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2598 | 2598 | 0.9996 True +7810 | 7810 | 0.9999 True +-------------------------------------------------------------------------------- +[2915/3000] Train loss: 0.00007, Valid loss: 0.00340, Elapsed_time: 814.40725 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0593 | 0593 | 0.9999 True +6919 | 6919 | 0.9994 True +-------------------------------------------------------------------------------- +[2920/3000] Train loss: 0.00006, Valid loss: 0.00297, Elapsed_time: 815.81110 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6313 | 6313 | 0.9997 True +8841 | 8841 | 0.6542 True +-------------------------------------------------------------------------------- +[2925/3000] Train loss: 0.00006, Valid loss: 0.00372, Elapsed_time: 817.16855 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.9999 True +1372 | 1372 | 0.9995 True +-------------------------------------------------------------------------------- +[2930/3000] Train loss: 0.00156, Valid loss: 0.02131, Elapsed_time: 818.48368 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0702 | 0702 | 0.9991 True +0816 | 0816 | 0.9996 True +-------------------------------------------------------------------------------- +[2935/3000] Train loss: 0.00007, Valid loss: 0.02561, Elapsed_time: 819.77577 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 0469 | 0.9998 True +8286 | 8286 | 0.9996 True +-------------------------------------------------------------------------------- +[2940/3000] Train loss: 0.00007, Valid loss: 0.00887, Elapsed_time: 821.05624 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3937 | 3937 | 0.9999 True +2239 | 2239 | 0.8985 True +-------------------------------------------------------------------------------- +[2945/3000] Train loss: 0.00007, Valid loss: 0.00830, Elapsed_time: 822.62734 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3450 | 3450 | 0.9999 True +3438 | 3438 | 0.9999 True +-------------------------------------------------------------------------------- +[2950/3000] Train loss: 0.00101, Valid loss: 0.00499, Elapsed_time: 823.95846 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.8131 True +2017 | 2017 | 0.9986 True +-------------------------------------------------------------------------------- +[2955/3000] Train loss: 0.00027, Valid loss: 0.00601, Elapsed_time: 825.25035 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6350 | 6350 | 0.9994 True +3032 | 3032 | 0.9990 True +-------------------------------------------------------------------------------- +[2960/3000] Train loss: 0.00013, Valid loss: 0.00638, Elapsed_time: 826.55117 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.8391 True +8744 | 8744 | 0.8368 True +-------------------------------------------------------------------------------- +[2965/3000] Train loss: 0.00008, Valid loss: 0.00666, Elapsed_time: 827.85896 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6858 | 6858 | 0.9996 True +1982 | 1982 | 0.9999 True +-------------------------------------------------------------------------------- +[2970/3000] Train loss: 0.00008, Valid loss: 0.00681, Elapsed_time: 829.12260 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8488 | 8488 | 0.7482 True +5812 | 5812 | 0.9992 True +-------------------------------------------------------------------------------- +[2975/3000] Train loss: 0.00026, Valid loss: 0.00576, Elapsed_time: 830.42148 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8262 | 8262 | 0.9998 True +7953 | 7953 | 0.9995 True +-------------------------------------------------------------------------------- +[2980/3000] Train loss: 0.00007, Valid loss: 0.00596, Elapsed_time: 831.99352 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3438 | 3438 | 0.9999 True +5468 | 5468 | 0.9997 True +-------------------------------------------------------------------------------- +[2985/3000] Train loss: 0.00008, Valid loss: 0.00631, Elapsed_time: 833.26254 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3032 | 3032 | 0.9992 True +2768 | 2768 | 0.9985 True +-------------------------------------------------------------------------------- +[2990/3000] Train loss: 0.00007, Valid loss: 0.00986, Elapsed_time: 834.52164 +Current_accuracy : 98.500, Current_norm_ED : 0.9968 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 4923 | 0.9998 True +5236 | 5236 | 0.9998 True +-------------------------------------------------------------------------------- +[2995/3000] Train loss: 0.00007, Valid loss: 0.00612, Elapsed_time: 835.84211 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1618 | 1618 | 0.9998 True +8773 | 8773 | 0.9956 True +-------------------------------------------------------------------------------- +[3000/3000] Train loss: 0.00007, Valid loss: 0.00587, Elapsed_time: 837.12841 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3590 | 3590 | 0.9994 True +9438 | 9438 | 0.9999 True +-------------------------------------------------------------------------------- +[5/3000] Train loss: 8.16274, Valid loss: 3.00617, Elapsed_time: 2.94344 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7010 | | 0.0021 False +7016 | | 0.0033 False +-------------------------------------------------------------------------------- +[10/3000] Train loss: 3.13885, Valid loss: 2.73697, Elapsed_time: 5.14005 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9033 | | 0.0078 False +5890 | | 0.0034 False +-------------------------------------------------------------------------------- +[15/3000] Train loss: 2.93109, Valid loss: 2.98886, Elapsed_time: 6.92391 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8872 | | 0.0901 False +2742 | | 0.0900 False +-------------------------------------------------------------------------------- +[20/3000] Train loss: 3.11402, Valid loss: 2.72939, Elapsed_time: 8.12360 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9046 | | 0.0040 False +2003 | | 0.0024 False +-------------------------------------------------------------------------------- +[25/3000] Train loss: 3.17850, Valid loss: 2.72047, Elapsed_time: 9.28090 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1730 | | 0.0534 False +5627 | | 0.0356 False +-------------------------------------------------------------------------------- +[30/3000] Train loss: 3.19017, Valid loss: 2.77863, Elapsed_time: 10.44827 +Current_accuracy : 0.000, Current_norm_ED : 0.0213 +Best_accuracy : 0.000, Best_norm_ED : 0.0213 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | | 0.0234 False +1383 | | 0.0291 False +-------------------------------------------------------------------------------- +[5/3000] Train loss: 3.10600, Valid loss: 3.38381, Elapsed_time: 2.94770 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0543 | | 0.2966 False +3361 | | 0.2997 False +-------------------------------------------------------------------------------- +[10/3000] Train loss: 3.00992, Valid loss: 2.77553, Elapsed_time: 5.21101 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0298 | | 0.0004 False +4685 | | 0.0005 False +-------------------------------------------------------------------------------- +[15/3000] Train loss: 2.78705, Valid loss: 2.89371, Elapsed_time: 6.43321 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7953 | | 0.0530 False +9438 | | 0.0584 False +-------------------------------------------------------------------------------- +[20/3000] Train loss: 2.82315, Valid loss: 2.92655, Elapsed_time: 7.61246 +Current_accuracy : 0.000, Current_norm_ED : 0.0050 +Best_accuracy : 0.000, Best_norm_ED : 0.0050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | | 0.0001 False +1982 | | 0.0001 False +-------------------------------------------------------------------------------- +[25/3000] Train loss: 2.80637, Valid loss: 2.75359, Elapsed_time: 9.09617 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0050 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0617 | | 0.0162 False +1736 | | 0.0178 False +-------------------------------------------------------------------------------- +[30/3000] Train loss: 2.74722, Valid loss: 2.95172, Elapsed_time: 10.27181 +Current_accuracy : 0.000, Current_norm_ED : 0.0375 +Best_accuracy : 0.000, Best_norm_ED : 0.0375 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1156 | 2 | 0.0000 False +1730 | 2 | 0.0001 False +-------------------------------------------------------------------------------- +[35/3000] Train loss: 2.69284, Valid loss: 2.70103, Elapsed_time: 12.52524 +Current_accuracy : 0.000, Current_norm_ED : 0.0138 +Best_accuracy : 0.000, Best_norm_ED : 0.0375 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | | 0.0010 False +9046 | | 0.0013 False +-------------------------------------------------------------------------------- +[40/3000] Train loss: 3.19005, Valid loss: 3.17596, Elapsed_time: 13.74141 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0375 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2831 | | 0.1629 False +5239 | | 0.2044 False +-------------------------------------------------------------------------------- +[45/3000] Train loss: 3.13194, Valid loss: 2.77322, Elapsed_time: 14.92821 +Current_accuracy : 0.000, Current_norm_ED : 0.1087 +Best_accuracy : 0.000, Best_norm_ED : 0.1087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8243 | 8 | 0.0006 False +1346 | 7 | 0.0004 False +-------------------------------------------------------------------------------- +[50/3000] Train loss: 2.74869, Valid loss: 2.74715, Elapsed_time: 16.41219 +Current_accuracy : 0.000, Current_norm_ED : 0.0663 +Best_accuracy : 0.000, Best_norm_ED : 0.1087 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4962 | 0 | 0.0048 False +4685 | 6 | 0.0043 False +-------------------------------------------------------------------------------- +[55/3000] Train loss: 2.67609, Valid loss: 2.81693, Elapsed_time: 17.68514 +Current_accuracy : 0.000, Current_norm_ED : 0.1212 +Best_accuracy : 0.000, Best_norm_ED : 0.1212 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1156 | 24 | 0.0004 False +0056 | 64 | 0.0004 False +-------------------------------------------------------------------------------- +[60/3000] Train loss: 2.73029, Valid loss: 2.67186, Elapsed_time: 19.34238 +Current_accuracy : 0.000, Current_norm_ED : 0.1037 +Best_accuracy : 0.000, Best_norm_ED : 0.1212 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6367 | 41 | 0.0013 False +9046 | 8 | 0.0209 False +-------------------------------------------------------------------------------- +[65/3000] Train loss: 2.71901, Valid loss: 2.68464, Elapsed_time: 20.88366 +Current_accuracy : 0.000, Current_norm_ED : 0.1475 +Best_accuracy : 0.000, Best_norm_ED : 0.1475 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 709 | 0.0003 False +8744 | 79 | 0.0001 False +-------------------------------------------------------------------------------- +[70/3000] Train loss: 2.61008, Valid loss: 2.71332, Elapsed_time: 22.45476 +Current_accuracy : 0.000, Current_norm_ED : 0.1388 +Best_accuracy : 0.000, Best_norm_ED : 0.1475 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7016 | 58 | 0.0004 False +2894 | 873 | 0.0003 False +-------------------------------------------------------------------------------- +[75/3000] Train loss: 2.83089, Valid loss: 2.87846, Elapsed_time: 23.67235 +Current_accuracy : 0.000, Current_norm_ED : 0.1625 +Best_accuracy : 0.000, Best_norm_ED : 0.1625 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1737 | 1061 | 0.0000 False +6574 | 091 | 0.0001 False +-------------------------------------------------------------------------------- +[80/3000] Train loss: 2.58556, Valid loss: 2.69985, Elapsed_time: 25.23796 +Current_accuracy : 0.000, Current_norm_ED : 0.1263 +Best_accuracy : 0.000, Best_norm_ED : 0.1625 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 83 | 0.0008 False +9030 | 8 | 0.0073 False +-------------------------------------------------------------------------------- +[85/3000] Train loss: 2.48959, Valid loss: 2.78286, Elapsed_time: 27.08237 +Current_accuracy : 0.000, Current_norm_ED : 0.1487 +Best_accuracy : 0.000, Best_norm_ED : 0.1625 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3590 | 748 | 0.0006 False +1140 | 78 | 0.0014 False +-------------------------------------------------------------------------------- +[90/3000] Train loss: 2.52329, Valid loss: 2.51353, Elapsed_time: 28.32641 +Current_accuracy : 0.000, Current_norm_ED : 0.1787 +Best_accuracy : 0.000, Best_norm_ED : 0.1787 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 64 | 0.0003 False +6350 | 634 | 0.0004 False +-------------------------------------------------------------------------------- +[95/3000] Train loss: 2.51759, Valid loss: 2.46218, Elapsed_time: 29.87513 +Current_accuracy : 0.000, Current_norm_ED : 0.1975 +Best_accuracy : 0.000, Best_norm_ED : 0.1975 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0631 | 6831 | 0.0013 False +1914 | 8631 | 0.0007 False +-------------------------------------------------------------------------------- +[100/3000] Train loss: 2.53015, Valid loss: 2.47117, Elapsed_time: 31.78968 +Current_accuracy : 0.000, Current_norm_ED : 0.2000 +Best_accuracy : 0.000, Best_norm_ED : 0.2000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2843 | 8940 | 0.0004 False +6574 | 741 | 0.0007 False +-------------------------------------------------------------------------------- +[105/3000] Train loss: 2.38786, Valid loss: 2.59668, Elapsed_time: 33.83866 +Current_accuracy : 0.000, Current_norm_ED : 0.1812 +Best_accuracy : 0.000, Best_norm_ED : 0.2000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8794 | 7871 | 0.0004 False +3848 | 89 | 0.0011 False +-------------------------------------------------------------------------------- +[110/3000] Train loss: 2.40930, Valid loss: 2.41176, Elapsed_time: 35.11315 +Current_accuracy : 0.000, Current_norm_ED : 0.1888 +Best_accuracy : 0.000, Best_norm_ED : 0.2000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 354 | 0.0008 False +9700 | 354 | 0.0003 False +-------------------------------------------------------------------------------- +[115/3000] Train loss: 2.36126, Valid loss: 2.50356, Elapsed_time: 36.39669 +Current_accuracy : 0.000, Current_norm_ED : 0.1725 +Best_accuracy : 0.000, Best_norm_ED : 0.2000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8575 | 161 | 0.0014 False +9511 | 641 | 0.0023 False +-------------------------------------------------------------------------------- +[120/3000] Train loss: 2.37393, Valid loss: 2.49679, Elapsed_time: 37.72714 +Current_accuracy : 0.000, Current_norm_ED : 0.1963 +Best_accuracy : 0.000, Best_norm_ED : 0.2000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0543 | 764 | 0.0014 False +8834 | 61 | 0.0029 False +-------------------------------------------------------------------------------- +[125/3000] Train loss: 2.28045, Valid loss: 2.34522, Elapsed_time: 38.97878 +Current_accuracy : 0.500, Current_norm_ED : 0.2300 +Best_accuracy : 0.500, Best_norm_ED : 0.2300 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0631 | 581 | 0.0026 False +0273 | 52 | 0.0007 False +-------------------------------------------------------------------------------- +[130/3000] Train loss: 2.30450, Valid loss: 2.30131, Elapsed_time: 41.19461 +Current_accuracy : 0.000, Current_norm_ED : 0.2412 +Best_accuracy : 0.500, Best_norm_ED : 0.2412 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7066 | 196 | 0.0103 False +1730 | 765 | 0.0020 False +-------------------------------------------------------------------------------- +[135/3000] Train loss: 2.18134, Valid loss: 2.25370, Elapsed_time: 42.81148 +Current_accuracy : 0.000, Current_norm_ED : 0.2387 +Best_accuracy : 0.500, Best_norm_ED : 0.2412 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3438 | 566 | 0.0051 False +5888 | 686 | 0.0066 False +-------------------------------------------------------------------------------- +[140/3000] Train loss: 2.14995, Valid loss: 2.15350, Elapsed_time: 44.12475 +Current_accuracy : 0.000, Current_norm_ED : 0.2537 +Best_accuracy : 0.500, Best_norm_ED : 0.2537 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0663 | 6771 | 0.0020 False +7188 | 798 | 0.0079 False +-------------------------------------------------------------------------------- +[145/3000] Train loss: 2.01315, Valid loss: 2.82307, Elapsed_time: 45.74543 +Current_accuracy : 0.000, Current_norm_ED : 0.1800 +Best_accuracy : 0.500, Best_norm_ED : 0.2537 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4783 | 0660 | 0.0050 False +0816 | 535 | 0.0028 False +-------------------------------------------------------------------------------- +[150/3000] Train loss: 2.02318, Valid loss: 2.36189, Elapsed_time: 47.03718 +Current_accuracy : 0.000, Current_norm_ED : 0.2575 +Best_accuracy : 0.500, Best_norm_ED : 0.2575 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8770 | 9178 | 0.0079 False +7453 | 719 | 0.0089 False +-------------------------------------------------------------------------------- +[155/3000] Train loss: 1.98066, Valid loss: 1.97155, Elapsed_time: 48.61364 +Current_accuracy : 0.500, Current_norm_ED : 0.3113 +Best_accuracy : 0.500, Best_norm_ED : 0.3113 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3937 | 462 | 0.0067 False +6910 | 5075 | 0.0014 False +-------------------------------------------------------------------------------- +[160/3000] Train loss: 1.81167, Valid loss: 1.97292, Elapsed_time: 50.48235 +Current_accuracy : 0.000, Current_norm_ED : 0.2875 +Best_accuracy : 0.500, Best_norm_ED : 0.3113 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1737 | 17 | 0.0135 False +0617 | 461 | 0.0083 False +-------------------------------------------------------------------------------- +[165/3000] Train loss: 1.88236, Valid loss: 2.03627, Elapsed_time: 51.82723 +Current_accuracy : 0.500, Current_norm_ED : 0.3225 +Best_accuracy : 0.500, Best_norm_ED : 0.3225 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2433 | 2474 | 0.0089 False +6852 | 3061 | 0.0015 False +-------------------------------------------------------------------------------- +[170/3000] Train loss: 1.84557, Valid loss: 1.76899, Elapsed_time: 53.43701 +Current_accuracy : 0.500, Current_norm_ED : 0.3500 +Best_accuracy : 0.500, Best_norm_ED : 0.3500 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0273 | 411 | 0.0090 False +4301 | 4541 | 0.0048 False +-------------------------------------------------------------------------------- +[175/3000] Train loss: 1.67550, Valid loss: 1.91066, Elapsed_time: 55.11519 +Current_accuracy : 1.000, Current_norm_ED : 0.3375 +Best_accuracy : 1.000, Best_norm_ED : 0.3500 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7066 | 786 | 0.0278 False +7028 | 7816 | 0.0128 False +-------------------------------------------------------------------------------- +[180/3000] Train loss: 1.84036, Valid loss: 2.08617, Elapsed_time: 56.69214 +Current_accuracy : 1.000, Current_norm_ED : 0.2863 +Best_accuracy : 1.000, Best_norm_ED : 0.3500 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4731 | 421 | 0.0299 False +0567 | 4587 | 0.0071 False +-------------------------------------------------------------------------------- +[185/3000] Train loss: 1.83696, Valid loss: 2.01772, Elapsed_time: 58.00883 +Current_accuracy : 0.500, Current_norm_ED : 0.3038 +Best_accuracy : 1.000, Best_norm_ED : 0.3500 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 6381 | 0.0207 False +9700 | 574 | 0.0093 False +-------------------------------------------------------------------------------- +[190/3000] Train loss: 1.86523, Valid loss: 1.97832, Elapsed_time: 59.92987 +Current_accuracy : 0.500, Current_norm_ED : 0.3162 +Best_accuracy : 1.000, Best_norm_ED : 0.3500 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4066 | 4668 | 0.0034 False +5427 | 643 | 0.0063 False +-------------------------------------------------------------------------------- +[195/3000] Train loss: 1.69716, Valid loss: 1.62017, Elapsed_time: 61.51323 +Current_accuracy : 0.500, Current_norm_ED : 0.3700 +Best_accuracy : 1.000, Best_norm_ED : 0.3700 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4962 | 587 | 0.0169 False +7253 | 383 | 0.0088 False +-------------------------------------------------------------------------------- +[200/3000] Train loss: 1.57724, Valid loss: 1.63716, Elapsed_time: 63.10010 +Current_accuracy : 0.000, Current_norm_ED : 0.3738 +Best_accuracy : 1.000, Best_norm_ED : 0.3738 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1982 | 1887 | 0.0345 False +2003 | 203 | 0.0348 False +-------------------------------------------------------------------------------- +[205/3000] Train loss: 1.50866, Valid loss: 1.81953, Elapsed_time: 64.65093 +Current_accuracy : 1.000, Current_norm_ED : 0.3613 +Best_accuracy : 1.000, Best_norm_ED : 0.3738 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2365 | 3516 | 0.0191 False +1873 | 1832 | 0.0160 False +-------------------------------------------------------------------------------- +[210/3000] Train loss: 1.50849, Valid loss: 1.76979, Elapsed_time: 65.95988 +Current_accuracy : 0.500, Current_norm_ED : 0.3900 +Best_accuracy : 1.000, Best_norm_ED : 0.3900 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4685 | 7053 | 0.0138 False +9414 | 944 | 0.1132 False +-------------------------------------------------------------------------------- +[215/3000] Train loss: 1.44147, Valid loss: 1.35213, Elapsed_time: 67.48216 +Current_accuracy : 5.000, Current_norm_ED : 0.4612 +Best_accuracy : 5.000, Best_norm_ED : 0.4612 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0702 | 0753 | 0.0293 False +1736 | 7278 | 0.0366 False +-------------------------------------------------------------------------------- +[220/3000] Train loss: 1.29383, Valid loss: 1.34728, Elapsed_time: 69.29422 +Current_accuracy : 4.500, Current_norm_ED : 0.4950 +Best_accuracy : 5.000, Best_norm_ED : 0.4950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 25 | 0.0216 False +0273 | 022 | 0.0286 False +-------------------------------------------------------------------------------- +[225/3000] Train loss: 1.24143, Valid loss: 1.52567, Elapsed_time: 71.19384 +Current_accuracy : 1.000, Current_norm_ED : 0.4437 +Best_accuracy : 5.000, Best_norm_ED : 0.4950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4278 | 0.0110 False +3560 | 455 | 0.0254 False +-------------------------------------------------------------------------------- +[230/3000] Train loss: 1.15898, Valid loss: 2.01742, Elapsed_time: 72.46883 +Current_accuracy : 2.000, Current_norm_ED : 0.3650 +Best_accuracy : 5.000, Best_norm_ED : 0.4950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0627 | 507 | 0.0534 False +9442 | 5317 | 0.0408 False +-------------------------------------------------------------------------------- +[235/3000] Train loss: 1.28490, Valid loss: 1.84107, Elapsed_time: 73.74456 +Current_accuracy : 3.500, Current_norm_ED : 0.4460 +Best_accuracy : 5.000, Best_norm_ED : 0.4950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2017 | 383 | 0.0497 False +6858 | 885 | 0.0107 False +-------------------------------------------------------------------------------- +[240/3000] Train loss: 1.40278, Valid loss: 1.17553, Elapsed_time: 75.01836 +Current_accuracy : 9.500, Current_norm_ED : 0.5713 +Best_accuracy : 9.500, Best_norm_ED : 0.5713 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3438 | 3479 | 0.0418 False +8770 | 6170 | 0.0465 False +-------------------------------------------------------------------------------- +[245/3000] Train loss: 1.07712, Valid loss: 1.03940, Elapsed_time: 76.84339 +Current_accuracy : 8.500, Current_norm_ED : 0.6120 +Best_accuracy : 9.500, Best_norm_ED : 0.6120 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5944 | 544 | 0.0172 False +4620 | 4635 | 0.0650 False +-------------------------------------------------------------------------------- +[250/3000] Train loss: 1.12786, Valid loss: 1.02834, Elapsed_time: 78.36180 +Current_accuracy : 5.500, Current_norm_ED : 0.5563 +Best_accuracy : 9.500, Best_norm_ED : 0.6120 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6348 | 6248 | 0.1168 False +3723 | 472 | 0.0346 False +-------------------------------------------------------------------------------- +[255/3000] Train loss: 0.94005, Valid loss: 1.05191, Elapsed_time: 79.58253 +Current_accuracy : 12.500, Current_norm_ED : 0.6150 +Best_accuracy : 12.500, Best_norm_ED : 0.6150 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 0713 | 0.0875 True +8488 | 6468 | 0.0400 False +-------------------------------------------------------------------------------- +[260/3000] Train loss: 0.92024, Valid loss: 0.84644, Elapsed_time: 81.76303 +Current_accuracy : 16.500, Current_norm_ED : 0.6975 +Best_accuracy : 16.500, Best_norm_ED : 0.6975 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8262 | 8282 | 0.0707 False +2843 | 2843 | 0.2072 True +-------------------------------------------------------------------------------- +[265/3000] Train loss: 0.84588, Valid loss: 1.08010, Elapsed_time: 83.62069 +Current_accuracy : 7.500, Current_norm_ED : 0.5763 +Best_accuracy : 16.500, Best_norm_ED : 0.6975 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1383 | 7292 | 0.0525 False +3438 | 3439 | 0.0840 False +-------------------------------------------------------------------------------- +[270/3000] Train loss: 0.86617, Valid loss: 1.23787, Elapsed_time: 84.88463 +Current_accuracy : 11.000, Current_norm_ED : 0.5950 +Best_accuracy : 16.500, Best_norm_ED : 0.6975 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5236 | 5326 | 0.1392 False +0816 | 5616 | 0.1276 False +-------------------------------------------------------------------------------- +[275/3000] Train loss: 0.82259, Valid loss: 1.01643, Elapsed_time: 86.11549 +Current_accuracy : 16.500, Current_norm_ED : 0.6525 +Best_accuracy : 16.500, Best_norm_ED : 0.6975 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0228 | 5239 | 0.0759 False +3438 | 3439 | 0.1136 False +-------------------------------------------------------------------------------- +[280/3000] Train loss: 0.78922, Valid loss: 0.77096, Elapsed_time: 87.34947 +Current_accuracy : 22.500, Current_norm_ED : 0.7200 +Best_accuracy : 22.500, Best_norm_ED : 0.7200 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4472 | 42 | 0.1554 False +0975 | 075 | 0.2142 False +-------------------------------------------------------------------------------- +[285/3000] Train loss: 0.72066, Valid loss: 0.73092, Elapsed_time: 89.21161 +Current_accuracy : 20.000, Current_norm_ED : 0.6900 +Best_accuracy : 22.500, Best_norm_ED : 0.7200 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 4301 | 0.4299 True +5427 | 5427 | 0.2619 True +-------------------------------------------------------------------------------- +[290/3000] Train loss: 0.56622, Valid loss: 0.65323, Elapsed_time: 90.77698 +Current_accuracy : 25.500, Current_norm_ED : 0.7338 +Best_accuracy : 25.500, Best_norm_ED : 0.7338 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8405 | 6405 | 0.0773 False +1407 | 1407 | 0.1993 True +-------------------------------------------------------------------------------- +[295/3000] Train loss: 0.62121, Valid loss: 0.48585, Elapsed_time: 93.30211 +Current_accuracy : 40.500, Current_norm_ED : 0.8063 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5239 | 5239 | 0.2663 True +1982 | 1982 | 0.5341 True +-------------------------------------------------------------------------------- +[300/3000] Train loss: 0.54878, Valid loss: 0.87557, Elapsed_time: 95.15847 +Current_accuracy : 21.000, Current_norm_ED : 0.7128 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7764 | 764 | 0.1134 False +8461 | 6481 | 0.2275 False +-------------------------------------------------------------------------------- +[305/3000] Train loss: 0.64927, Valid loss: 0.49944, Elapsed_time: 96.46044 +Current_accuracy : 39.500, Current_norm_ED : 0.8047 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1141 | 1141 | 0.0770 True +9511 | 9511 | 0.1730 True +-------------------------------------------------------------------------------- +[310/3000] Train loss: 0.56474, Valid loss: 1.41879, Elapsed_time: 97.73416 +Current_accuracy : 14.000, Current_norm_ED : 0.6185 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6937 | 037 | 0.2545 False +1572 | 152 | 0.3419 False +-------------------------------------------------------------------------------- +[315/3000] Train loss: 0.58557, Valid loss: 0.60780, Elapsed_time: 98.98230 +Current_accuracy : 33.500, Current_norm_ED : 0.7688 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4228 | 0.3668 False +8243 | 6243 | 0.1751 False +-------------------------------------------------------------------------------- +[320/3000] Train loss: 0.48532, Valid loss: 0.59039, Elapsed_time: 100.53321 +Current_accuracy : 38.000, Current_norm_ED : 0.7903 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3438 | 3438 | 0.3092 True +8794 | 6704 | 0.2793 False +-------------------------------------------------------------------------------- +[325/3000] Train loss: 0.47593, Valid loss: 0.55958, Elapsed_time: 101.82603 +Current_accuracy : 36.000, Current_norm_ED : 0.7938 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9511 | 9511 | 0.1240 True +9541 | 9541 | 0.4444 True +-------------------------------------------------------------------------------- +[330/3000] Train loss: 0.46204, Valid loss: 0.98595, Elapsed_time: 103.05147 +Current_accuracy : 30.000, Current_norm_ED : 0.7488 +Best_accuracy : 40.500, Best_norm_ED : 0.8063 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 405 | 0.3374 False +7253 | 7253 | 0.0542 True +-------------------------------------------------------------------------------- +[335/3000] Train loss: 0.42007, Valid loss: 0.41765, Elapsed_time: 104.33761 +Current_accuracy : 52.500, Current_norm_ED : 0.8512 +Best_accuracy : 52.500, Best_norm_ED : 0.8512 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8168 | 816 | 0.2241 False +1372 | 1322 | 0.0607 False +-------------------------------------------------------------------------------- +[340/3000] Train loss: 0.46589, Valid loss: 0.56878, Elapsed_time: 106.23368 +Current_accuracy : 44.500, Current_norm_ED : 0.8225 +Best_accuracy : 52.500, Best_norm_ED : 0.8512 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8027 | 807 | 0.1784 False +8243 | 9243 | 0.6421 False +-------------------------------------------------------------------------------- +[345/3000] Train loss: 0.48362, Valid loss: 0.41608, Elapsed_time: 107.48517 +Current_accuracy : 45.000, Current_norm_ED : 0.8290 +Best_accuracy : 52.500, Best_norm_ED : 0.8512 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6350 | 6350 | 0.4854 True +2433 | 2433 | 0.1163 True +-------------------------------------------------------------------------------- +[350/3000] Train loss: 0.42101, Valid loss: 2.11135, Elapsed_time: 108.74241 +Current_accuracy : 20.500, Current_norm_ED : 0.6730 +Best_accuracy : 52.500, Best_norm_ED : 0.8512 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6787 | 9757 | 0.3406 False +2017 | 2017 | 0.5432 True +-------------------------------------------------------------------------------- +[355/3000] Train loss: 0.41186, Valid loss: 0.45920, Elapsed_time: 110.34491 +Current_accuracy : 55.000, Current_norm_ED : 0.8550 +Best_accuracy : 55.000, Best_norm_ED : 0.8550 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.5765 True +8794 | 8794 | 0.2577 True +-------------------------------------------------------------------------------- +[360/3000] Train loss: 0.28461, Valid loss: 0.56703, Elapsed_time: 112.20004 +Current_accuracy : 36.500, Current_norm_ED : 0.7875 +Best_accuracy : 55.000, Best_norm_ED : 0.8550 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6191 | 6191 | 0.4664 True +5944 | 5644 | 0.2311 False +-------------------------------------------------------------------------------- +[365/3000] Train loss: 0.26359, Valid loss: 0.52741, Elapsed_time: 113.47258 +Current_accuracy : 47.500, Current_norm_ED : 0.8378 +Best_accuracy : 55.000, Best_norm_ED : 0.8550 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8096 | 6096 | 0.3074 False +3032 | 302 | 0.6129 False +-------------------------------------------------------------------------------- +[370/3000] Train loss: 0.42079, Valid loss: 1.05066, Elapsed_time: 114.72709 +Current_accuracy : 37.000, Current_norm_ED : 0.7575 +Best_accuracy : 55.000, Best_norm_ED : 0.8550 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2134 | 2134 | 0.8053 True +4066 | 405 | 0.7240 False +-------------------------------------------------------------------------------- +[375/3000] Train loss: 0.22875, Valid loss: 0.36127, Elapsed_time: 115.98619 +Current_accuracy : 55.000, Current_norm_ED : 0.8688 +Best_accuracy : 55.000, Best_norm_ED : 0.8688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2665 | 0.6619 True +7822 | 782 | 0.4449 False +-------------------------------------------------------------------------------- +[380/3000] Train loss: 0.20757, Valid loss: 0.53593, Elapsed_time: 117.57077 +Current_accuracy : 45.500, Current_norm_ED : 0.8325 +Best_accuracy : 55.000, Best_norm_ED : 0.8688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3848 | 3948 | 0.5443 False +7295 | 7299 | 0.3102 False +-------------------------------------------------------------------------------- +[385/3000] Train loss: 0.33800, Valid loss: 0.75130, Elapsed_time: 119.18915 +Current_accuracy : 38.000, Current_norm_ED : 0.7950 +Best_accuracy : 55.000, Best_norm_ED : 0.8688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6787 | 6767 | 0.5386 False +3409 | 4998 | 0.0327 False +-------------------------------------------------------------------------------- +[390/3000] Train loss: 0.40703, Valid loss: 0.54309, Elapsed_time: 120.52825 +Current_accuracy : 51.000, Current_norm_ED : 0.8492 +Best_accuracy : 55.000, Best_norm_ED : 0.8688 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 8641 | 0.1211 False +7682 | 7682 | 0.4180 True +-------------------------------------------------------------------------------- +[395/3000] Train loss: 0.30853, Valid loss: 0.26285, Elapsed_time: 121.83454 +Current_accuracy : 70.500, Current_norm_ED : 0.9080 +Best_accuracy : 70.500, Best_norm_ED : 0.9080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1156 | 1156 | 0.2405 True +0474 | 0474 | 0.8366 True +-------------------------------------------------------------------------------- +[400/3000] Train loss: 0.19678, Valid loss: 0.93587, Elapsed_time: 123.69761 +Current_accuracy : 31.500, Current_norm_ED : 0.7555 +Best_accuracy : 70.500, Best_norm_ED : 0.9080 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6348 | 6346 | 0.3111 False +2768 | 2766 | 0.1293 False +-------------------------------------------------------------------------------- +[405/3000] Train loss: 0.36691, Valid loss: 0.25797, Elapsed_time: 125.58224 +Current_accuracy : 70.000, Current_norm_ED : 0.9190 +Best_accuracy : 70.500, Best_norm_ED : 0.9190 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 189 | 0.4919 False +6620 | 620 | 0.6335 False +-------------------------------------------------------------------------------- +[410/3000] Train loss: 0.15979, Valid loss: 0.30232, Elapsed_time: 127.16397 +Current_accuracy : 71.500, Current_norm_ED : 0.9203 +Best_accuracy : 71.500, Best_norm_ED : 0.9203 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8262 | 9262 | 0.5451 False +9030 | 030 | 0.7038 False +-------------------------------------------------------------------------------- +[415/3000] Train loss: 0.14117, Valid loss: 0.80407, Elapsed_time: 129.05700 +Current_accuracy : 43.500, Current_norm_ED : 0.8087 +Best_accuracy : 71.500, Best_norm_ED : 0.9203 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 129 | 0.3857 False +2433 | 2433 | 0.2550 True +-------------------------------------------------------------------------------- +[420/3000] Train loss: 0.29857, Valid loss: 0.23746, Elapsed_time: 130.69429 +Current_accuracy : 76.000, Current_norm_ED : 0.9315 +Best_accuracy : 76.000, Best_norm_ED : 0.9315 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7781 | 7761 | 0.1526 False +0617 | 0617 | 0.9048 True +-------------------------------------------------------------------------------- +[425/3000] Train loss: 0.12076, Valid loss: 0.29282, Elapsed_time: 132.60049 +Current_accuracy : 75.000, Current_norm_ED : 0.9255 +Best_accuracy : 76.000, Best_norm_ED : 0.9315 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 2768 | 0.6535 True +0593 | 593 | 0.5828 False +-------------------------------------------------------------------------------- +[430/3000] Train loss: 0.12206, Valid loss: 0.65434, Elapsed_time: 133.89520 +Current_accuracy : 45.000, Current_norm_ED : 0.8253 +Best_accuracy : 76.000, Best_norm_ED : 0.9315 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2003 | 0.8766 True +7014 | 7014 | 0.8745 True +-------------------------------------------------------------------------------- +[435/3000] Train loss: 0.16928, Valid loss: 0.25941, Elapsed_time: 135.17353 +Current_accuracy : 72.000, Current_norm_ED : 0.9220 +Best_accuracy : 76.000, Best_norm_ED : 0.9315 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6693 | 693 | 0.5199 False +8286 | 8296 | 0.3132 False +-------------------------------------------------------------------------------- +[440/3000] Train loss: 0.11435, Valid loss: 0.20689, Elapsed_time: 136.40733 +Current_accuracy : 80.000, Current_norm_ED : 0.9465 +Best_accuracy : 80.000, Best_norm_ED : 0.9465 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4287 | 4287 | 0.9336 True +1914 | 1914 | 0.9389 True +-------------------------------------------------------------------------------- +[445/3000] Train loss: 0.08389, Valid loss: 0.72413, Elapsed_time: 138.28552 +Current_accuracy : 45.000, Current_norm_ED : 0.8340 +Best_accuracy : 80.000, Best_norm_ED : 0.9465 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2768 | 278 | 0.8513 False +8575 | 8575 | 0.9234 True +-------------------------------------------------------------------------------- +[450/3000] Train loss: 0.20764, Valid loss: 0.12757, Elapsed_time: 139.88247 +Current_accuracy : 88.000, Current_norm_ED : 0.9718 +Best_accuracy : 88.000, Best_norm_ED : 0.9718 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0543 | 0543 | 0.9080 True +6852 | 68852 | 0.1371 False +-------------------------------------------------------------------------------- +[455/3000] Train loss: 0.08557, Valid loss: 0.06653, Elapsed_time: 141.75995 +Current_accuracy : 94.500, Current_norm_ED : 0.9870 +Best_accuracy : 94.500, Best_norm_ED : 0.9870 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0907 | 0907 | 0.8944 True +1796 | 1796 | 0.7795 True +-------------------------------------------------------------------------------- +[460/3000] Train loss: 0.04108, Valid loss: 0.07529, Elapsed_time: 143.62700 +Current_accuracy : 92.500, Current_norm_ED : 0.9812 +Best_accuracy : 94.500, Best_norm_ED : 0.9870 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 1289 | 0.8830 True +3638 | 3638 | 0.8799 True +-------------------------------------------------------------------------------- +[465/3000] Train loss: 0.05267, Valid loss: 0.04716, Elapsed_time: 144.94456 +Current_accuracy : 94.000, Current_norm_ED : 0.9850 +Best_accuracy : 94.500, Best_norm_ED : 0.9870 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9541 | 9541 | 0.8080 True +8461 | 8461 | 0.8628 True +-------------------------------------------------------------------------------- +[470/3000] Train loss: 0.04989, Valid loss: 0.09039, Elapsed_time: 146.21395 +Current_accuracy : 90.000, Current_norm_ED : 0.9750 +Best_accuracy : 94.500, Best_norm_ED : 0.9870 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4405 | 4405 | 0.5472 True +3590 | 3590 | 0.8843 True +-------------------------------------------------------------------------------- +[475/3000] Train loss: 0.06824, Valid loss: 0.06974, Elapsed_time: 147.48434 +Current_accuracy : 94.000, Current_norm_ED : 0.9853 +Best_accuracy : 94.500, Best_norm_ED : 0.9870 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3590 | 3590 | 0.9201 True +9281 | 0281 | 0.7576 False +-------------------------------------------------------------------------------- +[480/3000] Train loss: 0.04540, Valid loss: 0.63197, Elapsed_time: 149.06803 +Current_accuracy : 61.000, Current_norm_ED : 0.8890 +Best_accuracy : 94.500, Best_norm_ED : 0.9870 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2885 | 0.9170 False +6620 | 8820 | 0.4018 False +-------------------------------------------------------------------------------- +[485/3000] Train loss: 0.03962, Valid loss: 0.21891, Elapsed_time: 150.39626 +Current_accuracy : 80.000, Current_norm_ED : 0.9445 +Best_accuracy : 94.500, Best_norm_ED : 0.9870 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1873 | 1873 | 0.9434 True +8286 | 8266 | 0.0973 False +-------------------------------------------------------------------------------- +[490/3000] Train loss: 0.03296, Valid loss: 0.03145, Elapsed_time: 151.70644 +Current_accuracy : 96.500, Current_norm_ED : 0.9912 +Best_accuracy : 96.500, Best_norm_ED : 0.9912 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6313 | 6313 | 0.9665 True +5890 | 5890 | 0.8623 True +-------------------------------------------------------------------------------- +[495/3000] Train loss: 0.02096, Valid loss: 0.02824, Elapsed_time: 153.59877 +Current_accuracy : 97.000, Current_norm_ED : 0.9925 +Best_accuracy : 97.000, Best_norm_ED : 0.9925 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7810 | 7810 | 0.9837 True +7108 | 7108 | 0.9191 True +-------------------------------------------------------------------------------- +[500/3000] Train loss: 0.01216, Valid loss: 0.02167, Elapsed_time: 155.45622 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 97.500, Best_norm_ED : 0.9938 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8405 | 8405 | 0.9113 True +1982 | 1982 | 0.9500 True +-------------------------------------------------------------------------------- +[505/3000] Train loss: 0.01059, Valid loss: 0.01678, Elapsed_time: 157.33550 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 98.500, Best_norm_ED : 0.9962 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7682 | 7682 | 0.9484 True +3067 | 3067 | 0.9773 True +-------------------------------------------------------------------------------- +[510/3000] Train loss: 0.00970, Valid loss: 0.01273, Elapsed_time: 159.78147 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3351 | 3351 | 0.4489 True +2164 | 2164 | 0.9821 True +-------------------------------------------------------------------------------- +[515/3000] Train loss: 0.00939, Valid loss: 0.01362, Elapsed_time: 161.97279 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 0469 | 0.9509 True +1796 | 1796 | 0.9459 True +-------------------------------------------------------------------------------- +[520/3000] Train loss: 0.00632, Valid loss: 0.01309, Elapsed_time: 163.25233 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1914 | 1914 | 0.9695 True +9512 | 9512 | 0.9651 True +-------------------------------------------------------------------------------- +[525/3000] Train loss: 0.00606, Valid loss: 0.01217, Elapsed_time: 164.55320 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 0713 | 0.9887 True +2164 | 2164 | 0.9800 True +-------------------------------------------------------------------------------- +[530/3000] Train loss: 0.00603, Valid loss: 0.00974, Elapsed_time: 165.99625 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0567 | 0567 | 0.9772 True +2365 | 2365 | 0.9646 True +-------------------------------------------------------------------------------- +[535/3000] Train loss: 0.00583, Valid loss: 0.00923, Elapsed_time: 167.32737 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9032 | 9032 | 0.9694 True +0907 | 0907 | 0.9433 True +-------------------------------------------------------------------------------- +[540/3000] Train loss: 0.00502, Valid loss: 0.00766, Elapsed_time: 168.63428 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8575 | 8575 | 0.9879 True +0155 | 0155 | 0.8105 True +-------------------------------------------------------------------------------- +[545/3000] Train loss: 0.00402, Valid loss: 0.00780, Elapsed_time: 170.27872 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7695 | 7695 | 0.7952 True +3450 | 3450 | 0.9907 True +-------------------------------------------------------------------------------- +[550/3000] Train loss: 0.00391, Valid loss: 0.00692, Elapsed_time: 171.59719 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8096 | 8096 | 0.9736 True +2365 | 2365 | 0.9715 True +-------------------------------------------------------------------------------- +[555/3000] Train loss: 0.00370, Valid loss: 0.00687, Elapsed_time: 172.87485 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3574 | 3574 | 0.9897 True +0228 | 0228 | 0.9900 True +-------------------------------------------------------------------------------- +[560/3000] Train loss: 0.00312, Valid loss: 0.00688, Elapsed_time: 174.17540 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 9442 | 0.9935 True +5944 | 5944 | 0.4549 True +-------------------------------------------------------------------------------- +[565/3000] Train loss: 0.00368, Valid loss: 0.00669, Elapsed_time: 175.51559 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5427 | 5427 | 0.8777 True +2321 | 2321 | 0.9775 True +-------------------------------------------------------------------------------- +[570/3000] Train loss: 0.00301, Valid loss: 0.00626, Elapsed_time: 176.87641 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 8841 | 0.4083 True +0907 | 0907 | 0.9726 True +-------------------------------------------------------------------------------- +[575/3000] Train loss: 0.00269, Valid loss: 0.00674, Elapsed_time: 178.20025 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6919 | 6919 | 0.9907 True +6348 | 6348 | 0.9934 True +-------------------------------------------------------------------------------- +[580/3000] Train loss: 0.00255, Valid loss: 0.00635, Elapsed_time: 179.80888 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2737 | 2737 | 0.9681 True +4287 | 4287 | 0.9800 True +-------------------------------------------------------------------------------- +[585/3000] Train loss: 0.00252, Valid loss: 0.00576, Elapsed_time: 181.11591 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4769 | 4769 | 0.9891 True +5165 | 5165 | 0.9964 True +-------------------------------------------------------------------------------- +[590/3000] Train loss: 0.00234, Valid loss: 0.00531, Elapsed_time: 182.45698 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9895 True +7682 | 7682 | 0.9831 True +-------------------------------------------------------------------------------- +[595/3000] Train loss: 0.00221, Valid loss: 0.00515, Elapsed_time: 183.74719 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8262 | 8262 | 0.9919 True +6964 | 6964 | 0.9916 True +-------------------------------------------------------------------------------- +[600/3000] Train loss: 0.00237, Valid loss: 0.00504, Elapsed_time: 185.06816 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4731 | 4731 | 0.9953 True +2365 | 2365 | 0.9872 True +-------------------------------------------------------------------------------- +[605/3000] Train loss: 0.00209, Valid loss: 0.00373, Elapsed_time: 186.86941 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2831 | 2831 | 0.9947 True +0155 | 0155 | 0.8693 True +-------------------------------------------------------------------------------- +[610/3000] Train loss: 0.00201, Valid loss: 0.00395, Elapsed_time: 188.44200 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5888 | 5888 | 0.5678 True +4217 | 4217 | 0.9924 True +-------------------------------------------------------------------------------- +[615/3000] Train loss: 0.00183, Valid loss: 0.00478, Elapsed_time: 189.72628 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8575 | 8575 | 0.9947 True +8461 | 8461 | 0.9921 True +-------------------------------------------------------------------------------- +[620/3000] Train loss: 0.00157, Valid loss: 0.00535, Elapsed_time: 191.58953 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8488 | 8488 | 0.4774 True +6914 | 6914 | 0.9906 True +-------------------------------------------------------------------------------- +[625/3000] Train loss: 0.00162, Valid loss: 0.00394, Elapsed_time: 192.89033 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2742 | 2742 | 0.9810 True +9220 | 9220 | 0.9940 True +-------------------------------------------------------------------------------- +[630/3000] Train loss: 0.00155, Valid loss: 0.00379, Elapsed_time: 194.16986 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 9442 | 0.9964 True +7682 | 7682 | 0.9855 True +-------------------------------------------------------------------------------- +[635/3000] Train loss: 0.00167, Valid loss: 0.00298, Elapsed_time: 195.39390 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 4923 | 0.9926 True +4222 | 4222 | 0.6676 True +-------------------------------------------------------------------------------- +[640/3000] Train loss: 0.00235, Valid loss: 0.00321, Elapsed_time: 196.96803 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7453 | 7453 | 0.9885 True +9511 | 9511 | 0.5133 True +-------------------------------------------------------------------------------- +[645/3000] Train loss: 0.00172, Valid loss: 0.00312, Elapsed_time: 198.32498 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8027 | 8027 | 0.9428 True +7682 | 7682 | 0.9846 True +-------------------------------------------------------------------------------- +[650/3000] Train loss: 0.00141, Valid loss: 0.00227, Elapsed_time: 199.59809 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.6187 True +4569 | 4569 | 0.9969 True +-------------------------------------------------------------------------------- +[5/3000] Train loss: 0.00184, Valid loss: 0.00709, Elapsed_time: 2.23558 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4217 | 4217 | 0.9929 True +9281 | 0281 | 0.5345 False +-------------------------------------------------------------------------------- +[10/3000] Train loss: 0.00631, Valid loss: 0.59561, Elapsed_time: 4.55882 +Current_accuracy : 74.500, Current_norm_ED : 0.9263 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1372 | 1372 | 0.9922 True +2598 | 2596 | 0.9891 False +-------------------------------------------------------------------------------- +[15/3000] Train loss: 0.07502, Valid loss: 0.05601, Elapsed_time: 5.83153 +Current_accuracy : 94.000, Current_norm_ED : 0.9850 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.4165 True +3506 | 3506 | 0.9247 True +-------------------------------------------------------------------------------- +[20/3000] Train loss: 0.06496, Valid loss: 0.11946, Elapsed_time: 7.15870 +Current_accuracy : 88.500, Current_norm_ED : 0.9712 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.7310 True +2182 | 2182 | 0.9609 True +-------------------------------------------------------------------------------- +[25/3000] Train loss: 0.03711, Valid loss: 0.06824, Elapsed_time: 8.42329 +Current_accuracy : 95.500, Current_norm_ED : 0.9853 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1289 | 1289 | 0.9279 True +9033 | 9033 | 0.3115 True +-------------------------------------------------------------------------------- +[30/3000] Train loss: 0.02411, Valid loss: 0.06926, Elapsed_time: 9.71421 +Current_accuracy : 91.500, Current_norm_ED : 0.9762 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8794 | 8794 | 0.9868 True +7014 | 7014 | 0.8684 True +-------------------------------------------------------------------------------- +[35/3000] Train loss: 0.13414, Valid loss: 0.06332, Elapsed_time: 11.70355 +Current_accuracy : 94.500, Current_norm_ED : 0.9853 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2003 | 0.9730 True +7066 | 706 | 0.3993 False +-------------------------------------------------------------------------------- +[40/3000] Train loss: 0.03167, Valid loss: 0.07554, Elapsed_time: 12.99990 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2003 | 2003 | 0.9876 True +1516 | 1516 | 0.9809 True +-------------------------------------------------------------------------------- +[45/3000] Train loss: 0.08677, Valid loss: 0.26194, Elapsed_time: 14.33277 +Current_accuracy : 79.000, Current_norm_ED : 0.9447 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6852 | 6852 | 0.7687 True +7014 | 7014 | 0.8529 True +-------------------------------------------------------------------------------- +[50/3000] Train loss: 0.10665, Valid loss: 0.04059, Elapsed_time: 16.22745 +Current_accuracy : 96.500, Current_norm_ED : 0.9915 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0593 | 0593 | 0.9628 True +7209 | 7209 | 0.9435 True +-------------------------------------------------------------------------------- +[55/3000] Train loss: 0.00805, Valid loss: 0.05692, Elapsed_time: 17.49527 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9700 | 9700 | 0.4535 True +7695 | 7695 | 0.9319 True +-------------------------------------------------------------------------------- +[60/3000] Train loss: 0.07854, Valid loss: 0.08839, Elapsed_time: 18.76809 +Current_accuracy : 91.500, Current_norm_ED : 0.9768 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5627 | 5627 | 0.9776 True +0340 | 0340 | 0.9889 True +-------------------------------------------------------------------------------- +[65/3000] Train loss: 0.02933, Valid loss: 0.09114, Elapsed_time: 20.34442 +Current_accuracy : 89.500, Current_norm_ED : 0.9738 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3723 | 323 | 0.4189 False +1618 | 1618 | 0.9570 True +-------------------------------------------------------------------------------- +[70/3000] Train loss: 0.04138, Valid loss: 0.02871, Elapsed_time: 21.68238 +Current_accuracy : 97.500, Current_norm_ED : 0.9940 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8290 | 8290 | 0.9900 True +9163 | 9163 | 0.9875 True +-------------------------------------------------------------------------------- +[75/3000] Train loss: 0.03024, Valid loss: 0.14577, Elapsed_time: 22.95261 +Current_accuracy : 87.500, Current_norm_ED : 0.9688 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4731 | 4731 | 0.9906 True +5236 | 5236 | 0.9369 True +-------------------------------------------------------------------------------- +[80/3000] Train loss: 0.12706, Valid loss: 0.08719, Elapsed_time: 24.28835 +Current_accuracy : 92.000, Current_norm_ED : 0.9795 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3560 | 3560 | 0.7225 True +5888 | 5888 | 0.3915 True +-------------------------------------------------------------------------------- +[85/3000] Train loss: 0.31280, Valid loss: 0.43537, Elapsed_time: 25.58775 +Current_accuracy : 65.500, Current_norm_ED : 0.9078 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7253 | 72253 | 0.4631 False +1736 | 736 | 0.4682 False +-------------------------------------------------------------------------------- +[90/3000] Train loss: 0.04668, Valid loss: 0.29968, Elapsed_time: 26.85596 +Current_accuracy : 81.500, Current_norm_ED : 0.9463 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6617 | 6617 | 0.3672 True +9511 | 9511 | 0.4747 True +-------------------------------------------------------------------------------- +[95/3000] Train loss: 0.16156, Valid loss: 0.22262, Elapsed_time: 28.18103 +Current_accuracy : 80.500, Current_norm_ED : 0.9505 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1090 | 1090 | 0.4104 True +7295 | 7285 | 0.9098 False +-------------------------------------------------------------------------------- +[100/3000] Train loss: 0.16802, Valid loss: 0.04017, Elapsed_time: 29.79020 +Current_accuracy : 95.500, Current_norm_ED : 0.9895 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9281 | 5281 | 0.6390 False +3438 | 3438 | 0.9508 True +-------------------------------------------------------------------------------- +[105/3000] Train loss: 0.01054, Valid loss: 0.01161, Elapsed_time: 31.14065 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6964 | 6964 | 0.9850 True +4459 | 4459 | 0.7790 True +-------------------------------------------------------------------------------- +[110/3000] Train loss: 0.08498, Valid loss: 0.03198, Elapsed_time: 32.43626 +Current_accuracy : 96.500, Current_norm_ED : 0.9915 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1407 | 1407 | 0.9777 True +2768 | 2768 | 0.8256 True +-------------------------------------------------------------------------------- +[115/3000] Train loss: 0.04044, Valid loss: 0.02456, Elapsed_time: 33.70165 +Current_accuracy : 96.500, Current_norm_ED : 0.9912 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3409 | 3409 | 0.8666 True +7810 | 7810 | 0.9668 True +-------------------------------------------------------------------------------- +[120/3000] Train loss: 0.00974, Valid loss: 0.03290, Elapsed_time: 35.04084 +Current_accuracy : 95.500, Current_norm_ED : 0.9888 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3409 | 3409 | 0.9286 True +0543 | 0543 | 0.9877 True +-------------------------------------------------------------------------------- +[125/3000] Train loss: 0.01176, Valid loss: 0.01667, Elapsed_time: 36.47094 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0056 | 0056 | 0.3482 True +2375 | 2375 | 0.9829 True +-------------------------------------------------------------------------------- +[130/3000] Train loss: 0.04573, Valid loss: 0.04590, Elapsed_time: 38.26668 +Current_accuracy : 92.000, Current_norm_ED : 0.9800 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9438 | 9438 | 0.9736 True +5427 | 5427 | 0.9371 True +-------------------------------------------------------------------------------- +[135/3000] Train loss: 0.00722, Valid loss: 0.31901, Elapsed_time: 39.75233 +Current_accuracy : 86.500, Current_norm_ED : 0.9657 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 9442 | 0.9317 True +7742 | 7747 | 0.4912 False +-------------------------------------------------------------------------------- +[140/3000] Train loss: 0.01475, Valid loss: 0.01981, Elapsed_time: 41.20841 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6914 | 6914 | 0.9842 True +0816 | 0816 | 0.9750 True +-------------------------------------------------------------------------------- +[145/3000] Train loss: 0.00507, Valid loss: 0.02296, Elapsed_time: 42.83696 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7667 | 7667 | 0.9864 True +4769 | 4769 | 0.9881 True +-------------------------------------------------------------------------------- +[150/3000] Train loss: 0.01273, Valid loss: 0.00792, Elapsed_time: 44.16434 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5415 | 5415 | 0.9917 True +3560 | 3560 | 0.9889 True +-------------------------------------------------------------------------------- +[155/3000] Train loss: 0.00383, Valid loss: 0.00782, Elapsed_time: 45.46851 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9267 | 9267 | 0.9903 True +5427 | 5427 | 0.9671 True +-------------------------------------------------------------------------------- +[160/3000] Train loss: 0.00257, Valid loss: 0.00739, Elapsed_time: 47.09583 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8907 | 8907 | 0.9687 True +2433 | 2433 | 0.4444 True +-------------------------------------------------------------------------------- +[165/3000] Train loss: 0.00244, Valid loss: 0.00666, Elapsed_time: 48.97176 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3848 | 3848 | 0.9946 True +6919 | 6919 | 0.9855 True +-------------------------------------------------------------------------------- +[170/3000] Train loss: 0.00216, Valid loss: 0.00521, Elapsed_time: 50.28394 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6910 | 6910 | 0.9938 True +8405 | 8405 | 0.9925 True +-------------------------------------------------------------------------------- +[175/3000] Train loss: 0.00201, Valid loss: 0.00427, Elapsed_time: 51.60619 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0617 | 0617 | 0.9915 True +7108 | 7108 | 0.9756 True +-------------------------------------------------------------------------------- +[180/3000] Train loss: 0.00213, Valid loss: 0.00417, Elapsed_time: 52.91212 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.9340 True +6348 | 6348 | 0.9940 True +-------------------------------------------------------------------------------- +[185/3000] Train loss: 0.00196, Valid loss: 0.00349, Elapsed_time: 54.21130 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6191 | 6191 | 0.9933 True +3389 | 3389 | 0.8303 True +-------------------------------------------------------------------------------- +[190/3000] Train loss: 0.00150, Valid loss: 0.00331, Elapsed_time: 55.52980 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 2164 | 0.9952 True +4222 | 4222 | 0.4435 True +-------------------------------------------------------------------------------- +[195/3000] Train loss: 0.00164, Valid loss: 0.00316, Elapsed_time: 57.15991 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3590 | 3590 | 0.9895 True +8027 | 8027 | 0.9793 True +-------------------------------------------------------------------------------- +[200/3000] Train loss: 0.00917, Valid loss: 0.01525, Elapsed_time: 59.05149 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7803 | 7803 | 0.9958 True +5239 | 5239 | 0.9946 True +-------------------------------------------------------------------------------- +[205/3000] Train loss: 0.00177, Valid loss: 0.00546, Elapsed_time: 60.32130 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4962 | 4962 | 0.9912 True +1914 | 1914 | 0.9885 True +-------------------------------------------------------------------------------- +[210/3000] Train loss: 0.00151, Valid loss: 0.00423, Elapsed_time: 61.63144 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0543 | 0543 | 0.9951 True +6367 | 6367 | 0.9937 True +-------------------------------------------------------------------------------- +[215/3000] Train loss: 0.00293, Valid loss: 0.01474, Elapsed_time: 62.93979 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0340 | 0340 | 0.9950 True +4066 | 406 | 0.8048 False +-------------------------------------------------------------------------------- +[220/3000] Train loss: 0.00179, Valid loss: 0.00382, Elapsed_time: 64.21521 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5735 | 5735 | 0.9955 True +3450 | 3450 | 0.9970 True +-------------------------------------------------------------------------------- +[225/3000] Train loss: 0.00108, Valid loss: 0.00328, Elapsed_time: 65.83026 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6574 | 6574 | 0.9930 True +8405 | 8405 | 0.9942 True +-------------------------------------------------------------------------------- +[230/3000] Train loss: 0.00113, Valid loss: 0.00316, Elapsed_time: 67.07070 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1383 | 1383 | 0.9965 True +8872 | 8872 | 0.4463 True +-------------------------------------------------------------------------------- +[235/3000] Train loss: 0.00101, Valid loss: 0.00296, Elapsed_time: 68.27215 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7953 | 7953 | 0.9959 True +5627 | 5627 | 0.9937 True +-------------------------------------------------------------------------------- +[240/3000] Train loss: 0.00101, Valid loss: 0.00509, Elapsed_time: 69.55404 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4638 | 4638 | 0.9976 True +2003 | 2003 | 0.9956 True +-------------------------------------------------------------------------------- +[245/3000] Train loss: 0.00101, Valid loss: 0.00268, Elapsed_time: 70.83439 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1796 | 1796 | 0.9943 True +0816 | 0816 | 0.9929 True +-------------------------------------------------------------------------------- +[250/3000] Train loss: 0.00096, Valid loss: 0.00225, Elapsed_time: 72.10736 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0340 | 0340 | 0.9962 True +9030 | 9030 | 0.9672 True +-------------------------------------------------------------------------------- +[255/3000] Train loss: 0.00100, Valid loss: 0.00232, Elapsed_time: 73.39654 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9163 | 9163 | 0.9976 True +3476 | 3476 | 0.9921 True +-------------------------------------------------------------------------------- +[260/3000] Train loss: 0.00085, Valid loss: 0.00396, Elapsed_time: 75.07435 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9220 | 9220 | 0.9967 True +9414 | 9414 | 0.9938 True +-------------------------------------------------------------------------------- +[265/3000] Train loss: 0.00328, Valid loss: 0.33872, Elapsed_time: 76.38137 +Current_accuracy : 78.500, Current_norm_ED : 0.9387 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1730 | 1730 | 0.9937 True +8872 | 8872 | 0.5194 True +-------------------------------------------------------------------------------- +[270/3000] Train loss: 0.01635, Valid loss: 0.00657, Elapsed_time: 77.67314 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3590 | 3590 | 0.9960 True +4620 | 4620 | 0.9971 True +-------------------------------------------------------------------------------- +[275/3000] Train loss: 0.00139, Valid loss: 0.01033, Elapsed_time: 78.95752 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5236 | 5236 | 0.9959 True +3937 | 3937 | 0.9967 True +-------------------------------------------------------------------------------- +[280/3000] Train loss: 0.00110, Valid loss: 0.00697, Elapsed_time: 80.26355 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 1140 | 0.5033 True +9335 | 9335 | 0.9964 True +-------------------------------------------------------------------------------- +[285/3000] Train loss: 0.00105, Valid loss: 0.01547, Elapsed_time: 82.28149 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8168 | 8169 | 0.9493 False +4459 | 4459 | 0.5892 True +-------------------------------------------------------------------------------- +[290/3000] Train loss: 0.00148, Valid loss: 0.01808, Elapsed_time: 83.87222 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1156 | 1156 | 0.6127 True +4236 | 4236 | 0.9969 True +-------------------------------------------------------------------------------- +[295/3000] Train loss: 0.00148, Valid loss: 0.00318, Elapsed_time: 85.20336 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3476 | 3476 | 0.9903 True +8834 | 8834 | 0.8307 True +-------------------------------------------------------------------------------- +[300/3000] Train loss: 0.00073, Valid loss: 0.00396, Elapsed_time: 86.49080 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 0469 | 0.9943 True +8770 | 8770 | 0.9968 True +-------------------------------------------------------------------------------- +[305/3000] Train loss: 0.00073, Valid loss: 0.00316, Elapsed_time: 87.81606 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4769 | 4769 | 0.9972 True +7764 | 7764 | 0.9372 True +-------------------------------------------------------------------------------- +[310/3000] Train loss: 0.00067, Valid loss: 0.00385, Elapsed_time: 89.10836 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4769 | 4769 | 0.9974 True +0155 | 0155 | 0.7299 True +-------------------------------------------------------------------------------- +[315/3000] Train loss: 0.00067, Valid loss: 0.00300, Elapsed_time: 90.42175 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7810 | 7810 | 0.9982 True +5888 | 5888 | 0.5907 True +-------------------------------------------------------------------------------- +[320/3000] Train loss: 0.00068, Valid loss: 0.00353, Elapsed_time: 91.97927 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3389 | 3389 | 0.8084 True +0975 | 0975 | 0.9961 True +-------------------------------------------------------------------------------- +[325/3000] Train loss: 0.00060, Valid loss: 0.00339, Elapsed_time: 93.32352 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3450 | 3450 | 0.9986 True +1383 | 1383 | 0.9972 True +-------------------------------------------------------------------------------- +[330/3000] Train loss: 0.00057, Valid loss: 0.00298, Elapsed_time: 94.61111 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1156 | 1156 | 0.4752 True +7742 | 7742 | 0.5194 True +-------------------------------------------------------------------------------- +[335/3000] Train loss: 0.00058, Valid loss: 0.00139, Elapsed_time: 95.91445 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 2164 | 0.9976 True +0034 | 0034 | 0.8136 True +-------------------------------------------------------------------------------- +[340/3000] Train loss: 0.00068, Valid loss: 0.00569, Elapsed_time: 97.19265 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3258 | 3258 | 0.9977 True +9046 | 9046 | 0.9945 True +-------------------------------------------------------------------------------- +[345/3000] Train loss: 0.00109, Valid loss: 0.01419, Elapsed_time: 98.46971 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9335 | 9335 | 0.9976 True +0975 | 0975 | 0.9975 True +-------------------------------------------------------------------------------- +[350/3000] Train loss: 0.00731, Valid loss: 0.00206, Elapsed_time: 99.75914 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8872 | 8872 | 0.4608 True +8967 | 8967 | 0.9956 True +-------------------------------------------------------------------------------- +[355/3000] Train loss: 0.00137, Valid loss: 0.00174, Elapsed_time: 101.37768 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2321 | 2321 | 0.9964 True +7822 | 7822 | 0.7976 True +-------------------------------------------------------------------------------- +[360/3000] Train loss: 0.00094, Valid loss: 0.00205, Elapsed_time: 102.66792 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5468 | 5468 | 0.9979 True +5627 | 5627 | 0.9971 True +-------------------------------------------------------------------------------- +[365/3000] Train loss: 0.00064, Valid loss: 0.00162, Elapsed_time: 103.99105 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0298 | 0298 | 0.9950 True +7875 | 7875 | 0.9987 True +-------------------------------------------------------------------------------- +[370/3000] Train loss: 0.00055, Valid loss: 0.00300, Elapsed_time: 105.29532 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4066 | 406 | 0.3413 False +0907 | 0907 | 0.9929 True +-------------------------------------------------------------------------------- +[375/3000] Train loss: 0.00076, Valid loss: 0.00160, Elapsed_time: 106.57834 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1383 | 1383 | 0.9972 True +7682 | 7682 | 0.9879 True +-------------------------------------------------------------------------------- +[380/3000] Train loss: 0.13652, Valid loss: 0.11280, Elapsed_time: 107.85517 +Current_accuracy : 90.000, Current_norm_ED : 0.9738 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6574 | 6574 | 0.9795 True +7875 | 7875 | 0.9920 True +-------------------------------------------------------------------------------- +[385/3000] Train loss: 0.15757, Valid loss: 0.16772, Elapsed_time: 109.46952 +Current_accuracy : 88.500, Current_norm_ED : 0.9707 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5427 | 5427 | 0.9976 True +0543 | 0543 | 0.9960 True +-------------------------------------------------------------------------------- +[390/3000] Train loss: 0.09705, Valid loss: 0.42926, Elapsed_time: 110.82565 +Current_accuracy : 72.000, Current_norm_ED : 0.9225 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6217 | 5217 | 0.5996 False +8027 | 8027 | 0.7210 True +-------------------------------------------------------------------------------- +[395/3000] Train loss: 0.08168, Valid loss: 0.05990, Elapsed_time: 112.11709 +Current_accuracy : 93.500, Current_norm_ED : 0.9840 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8488 | 8488 | 0.4555 True +8027 | 8027 | 0.9383 True +-------------------------------------------------------------------------------- +[400/3000] Train loss: 0.09051, Valid loss: 0.05000, Elapsed_time: 113.41884 +Current_accuracy : 94.500, Current_norm_ED : 0.9862 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3506 | 3506 | 0.9516 True +7695 | 7605 | 0.8145 False +-------------------------------------------------------------------------------- +[405/3000] Train loss: 0.07112, Valid loss: 0.08473, Elapsed_time: 115.33101 +Current_accuracy : 92.000, Current_norm_ED : 0.9778 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6937 | 6937 | 0.9757 True +5538 | 5538 | 0.3498 True +-------------------------------------------------------------------------------- +[410/3000] Train loss: 0.00810, Valid loss: 0.02460, Elapsed_time: 116.59423 +Current_accuracy : 95.500, Current_norm_ED : 0.9897 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5427 | 5427 | 0.9817 True +9163 | 9163 | 0.9948 True +-------------------------------------------------------------------------------- +[415/3000] Train loss: 0.00215, Valid loss: 0.01049, Elapsed_time: 117.89141 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6367 | 6367 | 0.9925 True +6313 | 6313 | 0.9822 True +-------------------------------------------------------------------------------- +[420/3000] Train loss: 0.00565, Valid loss: 0.03278, Elapsed_time: 119.51080 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0944 | 0944 | 0.9162 True +9220 | 9220 | 0.8167 True +-------------------------------------------------------------------------------- +[425/3000] Train loss: 0.09701, Valid loss: 0.87456, Elapsed_time: 120.84167 +Current_accuracy : 44.500, Current_norm_ED : 0.8108 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4783 | 4783 | 0.7195 True +6728 | 6720 | 0.9555 False +-------------------------------------------------------------------------------- +[430/3000] Train loss: 0.10549, Valid loss: 0.06128, Elapsed_time: 122.13237 +Current_accuracy : 95.500, Current_norm_ED : 0.9895 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9046 | 90046 | 0.4469 False +6617 | 6617 | 0.5189 True +-------------------------------------------------------------------------------- +[435/3000] Train loss: 0.00235, Valid loss: 0.02326, Elapsed_time: 123.42327 +Current_accuracy : 98.000, Current_norm_ED : 0.9955 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4685 | 4685 | 0.9761 True +4066 | 4066 | 0.2902 True +-------------------------------------------------------------------------------- +[440/3000] Train loss: 0.00140, Valid loss: 0.01160, Elapsed_time: 124.74134 +Current_accuracy : 99.000, Current_norm_ED : 0.9978 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 4301 | 0.9977 True +5236 | 5236 | 0.9877 True +-------------------------------------------------------------------------------- +[445/3000] Train loss: 0.00172, Valid loss: 0.00634, Elapsed_time: 126.00812 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1899 | 1899 | 0.8858 True +0469 | 0469 | 0.9917 True +-------------------------------------------------------------------------------- +[450/3000] Train loss: 0.00157, Valid loss: 0.00573, Elapsed_time: 127.68773 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 1140 | 0.8490 True +3574 | 3574 | 0.9863 True +-------------------------------------------------------------------------------- +[455/3000] Train loss: 0.00490, Valid loss: 0.01776, Elapsed_time: 129.05477 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1736 | 1736 | 0.9600 True +9715 | 9715 | 0.9974 True +-------------------------------------------------------------------------------- +[460/3000] Train loss: 0.00121, Valid loss: 0.01367, Elapsed_time: 130.78479 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1873 | 1873 | 0.9945 True +0474 | 0474 | 0.9798 True +-------------------------------------------------------------------------------- +[465/3000] Train loss: 0.00123, Valid loss: 0.01208, Elapsed_time: 132.17692 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5468 | 5468 | 0.9953 True +8405 | 8405 | 0.9946 True +-------------------------------------------------------------------------------- +[470/3000] Train loss: 0.00112, Valid loss: 0.01094, Elapsed_time: 133.50223 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9414 | 9414 | 0.9913 True +1572 | 1572 | 0.9940 True +-------------------------------------------------------------------------------- +[475/3000] Train loss: 0.00080, Valid loss: 0.00901, Elapsed_time: 134.91351 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2134 | 2134 | 0.9947 True +7822 | 7822 | 0.5573 True +-------------------------------------------------------------------------------- +[480/3000] Train loss: 0.00080, Valid loss: 0.00856, Elapsed_time: 137.32476 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1873 | 1873 | 0.9967 True +4222 | 4222 | 0.5809 True +-------------------------------------------------------------------------------- +[485/3000] Train loss: 0.00075, Valid loss: 0.00889, Elapsed_time: 138.89596 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 9442 | 0.9900 True +2164 | 2164 | 0.9966 True +-------------------------------------------------------------------------------- +[490/3000] Train loss: 0.00069, Valid loss: 0.00879, Elapsed_time: 140.55251 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3258 | 3258 | 0.9964 True +1982 | 1982 | 0.9821 True +-------------------------------------------------------------------------------- +[495/3000] Train loss: 0.00922, Valid loss: 0.00441, Elapsed_time: 142.33565 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1736 | 1736 | 0.9664 True +8027 | 8027 | 0.9910 True +-------------------------------------------------------------------------------- +[500/3000] Train loss: 0.00081, Valid loss: 0.00442, Elapsed_time: 143.62799 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3937 | 3937 | 0.9978 True +5239 | 5239 | 0.9979 True +-------------------------------------------------------------------------------- +[505/3000] Train loss: 0.00496, Valid loss: 0.04684, Elapsed_time: 144.90068 +Current_accuracy : 97.000, Current_norm_ED : 0.9912 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1516 | 1516 | 0.9682 True +2003 | 2003 | 0.9971 True +-------------------------------------------------------------------------------- +[510/3000] Train loss: 0.00276, Valid loss: 0.00169, Elapsed_time: 146.25985 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0034 | 0034 | 0.8025 True +6937 | 6937 | 0.9973 True +-------------------------------------------------------------------------------- +[515/3000] Train loss: 0.00144, Valid loss: 0.00318, Elapsed_time: 148.74364 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0631 | 0631 | 0.9957 True +3590 | 3590 | 0.9974 True +-------------------------------------------------------------------------------- +[520/3000] Train loss: 0.00078, Valid loss: 0.00323, Elapsed_time: 150.10732 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8841 | 8841 | 0.7530 True +6217 | 6217 | 0.9974 True +-------------------------------------------------------------------------------- +[525/3000] Train loss: 0.00084, Valid loss: 0.00252, Elapsed_time: 151.41854 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7667 | 7667 | 0.9596 True +8773 | 8773 | 0.9967 True +-------------------------------------------------------------------------------- +[530/3000] Train loss: 0.00068, Valid loss: 0.00241, Elapsed_time: 152.70702 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9030 | 9030 | 0.9836 True +6313 | 6313 | 0.9961 True +-------------------------------------------------------------------------------- +[535/3000] Train loss: 0.00058, Valid loss: 0.00262, Elapsed_time: 153.97848 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0907 | 0907 | 0.9874 True +0567 | 0567 | 0.9965 True +-------------------------------------------------------------------------------- +[540/3000] Train loss: 0.00059, Valid loss: 0.00253, Elapsed_time: 155.24295 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 2164 | 0.9986 True +7453 | 7453 | 0.9984 True +-------------------------------------------------------------------------------- +[545/3000] Train loss: 0.00045, Valid loss: 0.00241, Elapsed_time: 156.86073 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1796 | 1796 | 0.9973 True +1982 | 1982 | 0.9938 True +-------------------------------------------------------------------------------- +[550/3000] Train loss: 0.00045, Valid loss: 0.00228, Elapsed_time: 158.20097 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6367 | 6367 | 0.9771 True +8872 | 8872 | 0.4912 True +-------------------------------------------------------------------------------- +[555/3000] Train loss: 0.00047, Valid loss: 0.00203, Elapsed_time: 159.48153 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3560 | 3560 | 0.9989 True +1372 | 1372 | 0.9971 True +-------------------------------------------------------------------------------- +[560/3000] Train loss: 0.00041, Valid loss: 0.00189, Elapsed_time: 160.75320 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0567 | 0567 | 0.9974 True +2182 | 2182 | 0.9957 True +-------------------------------------------------------------------------------- +[565/3000] Train loss: 0.00043, Valid loss: 0.00203, Elapsed_time: 162.04688 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6217 | 6217 | 0.9980 True +5627 | 5627 | 0.9968 True +-------------------------------------------------------------------------------- +[570/3000] Train loss: 0.00049, Valid loss: 0.00143, Elapsed_time: 163.30308 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.9090 True +6728 | 6728 | 0.9966 True +-------------------------------------------------------------------------------- +[575/3000] Train loss: 0.00128, Valid loss: 1.25213, Elapsed_time: 164.66661 +Current_accuracy : 68.000, Current_norm_ED : 0.9038 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8907 | 8907 | 0.9731 True +0340 | 0340 | 0.9974 True +-------------------------------------------------------------------------------- +[580/3000] Train loss: 0.03087, Valid loss: 0.02624, Elapsed_time: 166.49825 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7667 | 7667 | 0.9971 True +9512 | 9512 | 0.9646 True +-------------------------------------------------------------------------------- +[585/3000] Train loss: 0.00060, Valid loss: 0.00953, Elapsed_time: 167.84660 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4685 | 4685 | 0.9939 True +6313 | 6313 | 0.9978 True +-------------------------------------------------------------------------------- +[590/3000] Train loss: 0.00069, Valid loss: 0.01066, Elapsed_time: 169.26128 +Current_accuracy : 98.500, Current_norm_ED : 0.9962 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3351 | 3351 | 0.7326 True +7875 | 7875 | 0.9972 True +-------------------------------------------------------------------------------- +[595/3000] Train loss: 0.00054, Valid loss: 0.00583, Elapsed_time: 170.62101 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2017 | 2017 | 0.9942 True +9267 | 9267 | 0.9967 True +-------------------------------------------------------------------------------- +[600/3000] Train loss: 0.00056, Valid loss: 0.00467, Elapsed_time: 171.99097 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3067 | 3067 | 0.9974 True +7010 | 7010 | 0.9982 True +-------------------------------------------------------------------------------- +[605/3000] Train loss: 0.00044, Valid loss: 0.00463, Elapsed_time: 173.41696 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1737 | 1737 | 0.9898 True +1736 | 1736 | 0.9891 True +-------------------------------------------------------------------------------- +[610/3000] Train loss: 0.00039, Valid loss: 0.00317, Elapsed_time: 175.16414 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 8967 | 0.9952 True +5415 | 5415 | 0.9989 True +-------------------------------------------------------------------------------- +[615/3000] Train loss: 0.00993, Valid loss: 0.00251, Elapsed_time: 176.52249 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.9991 True +0907 | 0907 | 0.9930 True +-------------------------------------------------------------------------------- +[620/3000] Train loss: 0.00084, Valid loss: 0.00791, Elapsed_time: 177.86785 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9438 | 9438 | 0.9970 True +2894 | 2894 | 0.9979 True +-------------------------------------------------------------------------------- +[5/3000] Train loss: 0.00148, Valid loss: 0.00237, Elapsed_time: 2.17476 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.9914 True +6910 | 6910 | 0.9958 True +-------------------------------------------------------------------------------- +[10/3000] Train loss: 0.00107, Valid loss: 0.00265, Elapsed_time: 4.50040 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7066 | 7066 | 0.6946 True +4405 | 4405 | 0.4445 True +-------------------------------------------------------------------------------- +[15/3000] Train loss: 0.00169, Valid loss: 0.00222, Elapsed_time: 5.79412 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9541 | 9541 | 0.9875 True +1796 | 1796 | 0.9900 True +-------------------------------------------------------------------------------- +[20/3000] Train loss: 0.00106, Valid loss: 0.00189, Elapsed_time: 7.09162 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8834 | 8834 | 0.7488 True +7742 | 7742 | 0.6291 True +-------------------------------------------------------------------------------- +[25/3000] Train loss: 0.00101, Valid loss: 0.00206, Elapsed_time: 8.36119 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8461 | 8461 | 0.9937 True +6914 | 6914 | 0.9915 True +-------------------------------------------------------------------------------- +[30/3000] Train loss: 0.00108, Valid loss: 0.00166, Elapsed_time: 9.64624 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2239 | 2239 | 0.6709 True +3574 | 3574 | 0.9951 True +-------------------------------------------------------------------------------- +[35/3000] Train loss: 0.07126, Valid loss: 0.02292, Elapsed_time: 11.68424 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4236 | 4236 | 0.9946 True +8770 | 8770 | 0.9829 True +-------------------------------------------------------------------------------- +[40/3000] Train loss: 0.06139, Valid loss: 0.13357, Elapsed_time: 13.03676 +Current_accuracy : 87.000, Current_norm_ED : 0.9675 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8290 | 8290 | 0.5359 True +5427 | 5427 | 0.9726 True +-------------------------------------------------------------------------------- +[45/3000] Train loss: 0.16072, Valid loss: 0.15473, Elapsed_time: 14.31064 +Current_accuracy : 84.000, Current_norm_ED : 0.9600 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7295 | 7294 | 0.3234 False +8575 | 8575 | 0.9668 True +-------------------------------------------------------------------------------- +[50/3000] Train loss: 0.05503, Valid loss: 0.94489, Elapsed_time: 15.59460 +Current_accuracy : 58.000, Current_norm_ED : 0.8740 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4783 | 4783 | 0.9870 True +9589 | 9589 | 0.3570 True +-------------------------------------------------------------------------------- +[55/3000] Train loss: 0.06731, Valid loss: 0.06627, Elapsed_time: 16.90181 +Current_accuracy : 93.500, Current_norm_ED : 0.9810 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1407 | 1407 | 0.9616 True +0228 | 0228 | 0.9854 True +-------------------------------------------------------------------------------- +[60/3000] Train loss: 0.24815, Valid loss: 0.04797, Elapsed_time: 18.18259 +Current_accuracy : 94.000, Current_norm_ED : 0.9840 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0155 | 015 | 0.3954 False +6964 | 6964 | 0.9780 True +-------------------------------------------------------------------------------- +[65/3000] Train loss: 0.06156, Valid loss: 0.27278, Elapsed_time: 19.79169 +Current_accuracy : 83.500, Current_norm_ED : 0.9575 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9512 | 9512 | 0.5333 True +0567 | 0567 | 0.9222 True +-------------------------------------------------------------------------------- +[70/3000] Train loss: 0.07313, Valid loss: 0.06340, Elapsed_time: 21.14289 +Current_accuracy : 91.000, Current_norm_ED : 0.9775 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0469 | 0469 | 0.9922 True +1407 | 1407 | 0.9052 True +-------------------------------------------------------------------------------- +[75/3000] Train loss: 0.03375, Valid loss: 0.03446, Elapsed_time: 22.43782 +Current_accuracy : 94.000, Current_norm_ED : 0.9850 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8488 | 848 | 0.7396 False +9571 | 9571 | 0.9476 True +-------------------------------------------------------------------------------- +[80/3000] Train loss: 0.01197, Valid loss: 0.00984, Elapsed_time: 23.75047 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9335 | 9335 | 0.9966 True +5165 | 5165 | 0.9976 True +-------------------------------------------------------------------------------- +[85/3000] Train loss: 0.00424, Valid loss: 0.00694, Elapsed_time: 25.05996 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2843 | 2843 | 0.9915 True +0340 | 0340 | 0.9880 True +-------------------------------------------------------------------------------- +[90/3000] Train loss: 0.00600, Valid loss: 0.00366, Elapsed_time: 26.33258 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1383 | 1383 | 0.9923 True +3506 | 3506 | 0.9935 True +-------------------------------------------------------------------------------- +[95/3000] Train loss: 0.00217, Valid loss: 0.00285, Elapsed_time: 28.25701 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9267 | 9267 | 0.9942 True +7810 | 7810 | 0.9865 True +-------------------------------------------------------------------------------- +[100/3000] Train loss: 0.00188, Valid loss: 0.00334, Elapsed_time: 29.85295 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3506 | 3506 | 0.9948 True +1383 | 1383 | 0.9937 True +-------------------------------------------------------------------------------- +[105/3000] Train loss: 0.00161, Valid loss: 0.00278, Elapsed_time: 31.15420 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6910 | 6910 | 0.9881 True +1730 | 1730 | 0.9924 True +-------------------------------------------------------------------------------- +[110/3000] Train loss: 0.00152, Valid loss: 0.00257, Elapsed_time: 32.46342 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7028 | 7028 | 0.9969 True +9589 | 9589 | 0.9829 True +-------------------------------------------------------------------------------- +[115/3000] Train loss: 0.00139, Valid loss: 0.00230, Elapsed_time: 33.74879 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.6895 True +9267 | 9267 | 0.9941 True +-------------------------------------------------------------------------------- +[120/3000] Train loss: 0.00137, Valid loss: 0.00240, Elapsed_time: 35.03426 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8967 | 8967 | 0.9952 True +1873 | 1873 | 0.9961 True +-------------------------------------------------------------------------------- +[125/3000] Train loss: 0.00114, Valid loss: 0.00210, Elapsed_time: 36.30436 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0713 | 0713 | 0.9952 True +0975 | 0975 | 0.9950 True +-------------------------------------------------------------------------------- +[130/3000] Train loss: 0.00114, Valid loss: 0.00192, Elapsed_time: 37.88743 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3258 | 3258 | 0.9955 True +4459 | 4459 | 0.6283 True +-------------------------------------------------------------------------------- +[135/3000] Train loss: 0.00113, Valid loss: 0.00188, Elapsed_time: 39.15843 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0155 | 0155 | 0.8621 True +9335 | 9335 | 0.9981 True +-------------------------------------------------------------------------------- +[140/3000] Train loss: 0.00097, Valid loss: 0.00173, Elapsed_time: 40.53382 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3574 | 3574 | 0.9949 True +9163 | 9163 | 0.9977 True +-------------------------------------------------------------------------------- +[145/3000] Train loss: 0.00108, Valid loss: 0.00160, Elapsed_time: 41.95089 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7209 | 7209 | 0.9943 True +0056 | 0056 | 0.5025 True +-------------------------------------------------------------------------------- +[150/3000] Train loss: 0.00093, Valid loss: 0.00160, Elapsed_time: 43.31102 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4769 | 4769 | 0.9939 True +8834 | 8834 | 0.7293 True +-------------------------------------------------------------------------------- +[155/3000] Train loss: 0.00125, Valid loss: 0.00156, Elapsed_time: 44.76757 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1140 | 1140 | 0.6528 True +0702 | 0702 | 0.9961 True +-------------------------------------------------------------------------------- +[160/3000] Train loss: 0.00087, Valid loss: 0.00152, Elapsed_time: 46.42614 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3574 | 3574 | 0.9964 True +7764 | 7764 | 0.5745 True +-------------------------------------------------------------------------------- +[165/3000] Train loss: 0.00109, Valid loss: 0.00124, Elapsed_time: 47.78533 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3560 | 3560 | 0.9976 True +3450 | 3450 | 0.9981 True +-------------------------------------------------------------------------------- +[170/3000] Train loss: 0.00081, Valid loss: 0.00128, Elapsed_time: 49.06187 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3560 | 3560 | 0.9977 True +0702 | 0702 | 0.9962 True +-------------------------------------------------------------------------------- +[175/3000] Train loss: 0.00075, Valid loss: 0.00118, Elapsed_time: 50.34752 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8405 | 8405 | 0.9939 True +2768 | 2768 | 0.9897 True +-------------------------------------------------------------------------------- +[180/3000] Train loss: 0.00080, Valid loss: 0.00112, Elapsed_time: 51.64240 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5468 | 5468 | 0.9970 True +7209 | 7209 | 0.9949 True +-------------------------------------------------------------------------------- +[185/3000] Train loss: 0.00058, Valid loss: 0.00125, Elapsed_time: 52.91240 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9033 | 9033 | 0.4981 True +0907 | 0907 | 0.9925 True +-------------------------------------------------------------------------------- +[190/3000] Train loss: 0.00075, Valid loss: 0.00105, Elapsed_time: 54.16276 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1372 | 1372 | 0.9956 True +7453 | 7453 | 0.9962 True +-------------------------------------------------------------------------------- +[195/3000] Train loss: 0.00058, Valid loss: 0.00118, Elapsed_time: 55.76863 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8744 | 8744 | 0.7097 True +2737 | 2737 | 0.9938 True +-------------------------------------------------------------------------------- +[200/3000] Train loss: 0.00061, Valid loss: 0.00104, Elapsed_time: 57.07057 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3409 | 3409 | 0.9961 True +0816 | 0816 | 0.9945 True +-------------------------------------------------------------------------------- +[205/3000] Train loss: 0.00056, Valid loss: 0.00100, Elapsed_time: 58.39015 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4923 | 4923 | 0.9964 True +6852 | 6852 | 0.9970 True +-------------------------------------------------------------------------------- +[210/3000] Train loss: 0.00071, Valid loss: 0.00096, Elapsed_time: 59.68443 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3258 | 3258 | 0.9977 True +6910 | 6910 | 0.9956 True +-------------------------------------------------------------------------------- +[215/3000] Train loss: 0.00056, Valid loss: 0.00087, Elapsed_time: 61.69734 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4301 | 4301 | 0.9988 True +5239 | 5239 | 0.9988 True +-------------------------------------------------------------------------------- +[220/3000] Train loss: 0.00055, Valid loss: 0.00085, Elapsed_time: 63.03337 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9033 | 9033 | 0.5168 True +0056 | 0056 | 0.5918 True +-------------------------------------------------------------------------------- +[225/3000] Train loss: 0.00056, Valid loss: 0.00082, Elapsed_time: 64.68356 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6574 | 6574 | 0.9954 True +6787 | 6787 | 0.9953 True +-------------------------------------------------------------------------------- +[230/3000] Train loss: 0.00052, Valid loss: 0.00088, Elapsed_time: 66.06985 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8770 | 8770 | 0.9942 True +8872 | 8872 | 0.7494 True +-------------------------------------------------------------------------------- +[235/3000] Train loss: 0.00052, Valid loss: 0.00078, Elapsed_time: 67.41553 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9139 | 9139 | 0.9992 True +1982 | 1982 | 0.9945 True +-------------------------------------------------------------------------------- +[240/3000] Train loss: 0.00049, Valid loss: 0.00078, Elapsed_time: 68.72277 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3032 | 3032 | 0.9958 True +4236 | 4236 | 0.9940 True +-------------------------------------------------------------------------------- +[245/3000] Train loss: 0.00043, Valid loss: 0.00071, Elapsed_time: 70.03284 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7014 | 7014 | 0.9946 True +8096 | 8096 | 0.9971 True +-------------------------------------------------------------------------------- +[250/3000] Train loss: 0.00044, Valid loss: 0.00072, Elapsed_time: 71.32946 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8794 | 8794 | 0.9985 True +7764 | 7764 | 0.4822 True +-------------------------------------------------------------------------------- +[255/3000] Train loss: 0.00045, Valid loss: 0.00070, Elapsed_time: 72.63576 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6964 | 6964 | 0.9982 True +5468 | 5468 | 0.9980 True +-------------------------------------------------------------------------------- +[260/3000] Train loss: 0.00045, Valid loss: 0.00076, Elapsed_time: 74.33322 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.9962 True +7453 | 7453 | 0.9974 True +-------------------------------------------------------------------------------- +[265/3000] Train loss: 0.00045, Valid loss: 0.00066, Elapsed_time: 75.67950 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7803 | 7803 | 0.9987 True +3361 | 3361 | 0.7184 True +-------------------------------------------------------------------------------- +[270/3000] Train loss: 0.00039, Valid loss: 0.00070, Elapsed_time: 77.00066 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2017 | 2017 | 0.9952 True +7764 | 7764 | 0.4844 True +-------------------------------------------------------------------------------- +[275/3000] Train loss: 0.00042, Valid loss: 0.00063, Elapsed_time: 78.28083 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5627 | 5627 | 0.9974 True +4952 | 4952 | 0.9987 True +-------------------------------------------------------------------------------- +[280/3000] Train loss: 0.00041, Valid loss: 0.00070, Elapsed_time: 79.54747 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7875 | 7875 | 0.9976 True +3297 | 3297 | 0.9941 True +-------------------------------------------------------------------------------- +[285/3000] Train loss: 0.00040, Valid loss: 0.00062, Elapsed_time: 80.81100 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0663 | 0663 | 0.9982 True +5944 | 5944 | 0.9402 True +-------------------------------------------------------------------------------- +[290/3000] Train loss: 0.00039, Valid loss: 0.00061, Elapsed_time: 82.44277 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7764 | 7764 | 0.6676 True +1140 | 1140 | 0.9362 True +-------------------------------------------------------------------------------- +[295/3000] Train loss: 0.00035, Valid loss: 0.00062, Elapsed_time: 83.76196 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7695 | 7695 | 0.9868 True +1572 | 1572 | 0.9983 True +-------------------------------------------------------------------------------- +[300/3000] Train loss: 0.00044, Valid loss: 0.00062, Elapsed_time: 85.11421 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9442 | 9442 | 0.9974 True +1516 | 1516 | 0.9898 True +-------------------------------------------------------------------------------- +[305/3000] Train loss: 0.00038, Valid loss: 0.00059, Elapsed_time: 86.44283 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1730 | 1730 | 0.9978 True +3409 | 3409 | 0.9977 True +-------------------------------------------------------------------------------- +[310/3000] Train loss: 0.00036, Valid loss: 0.00068, Elapsed_time: 87.72479 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9046 | 9046 | 0.9974 True +7188 | 7188 | 0.4350 True +-------------------------------------------------------------------------------- +[315/3000] Train loss: 0.00031, Valid loss: 0.00054, Elapsed_time: 89.01373 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.9975 True +3937 | 3937 | 0.9989 True +-------------------------------------------------------------------------------- +[320/3000] Train loss: 0.00035, Valid loss: 0.00054, Elapsed_time: 90.66874 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0298 | 0298 | 0.9941 True +9281 | 9281 | 0.9928 True +-------------------------------------------------------------------------------- +[325/3000] Train loss: 0.00030, Valid loss: 0.00054, Elapsed_time: 91.94772 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9267 | 9267 | 0.9980 True +0816 | 0816 | 0.9977 True +-------------------------------------------------------------------------------- +[330/3000] Train loss: 0.00063, Valid loss: 0.00687, Elapsed_time: 93.28919 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3361 | 3361 | 0.7152 True +9046 | 9046 | 0.9966 True +-------------------------------------------------------------------------------- +[335/3000] Train loss: 0.00031, Valid loss: 0.00176, Elapsed_time: 95.24201 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2831 | 2831 | 0.9991 True +1372 | 1372 | 0.9978 True +-------------------------------------------------------------------------------- +[340/3000] Train loss: 0.00943, Valid loss: 0.00178, Elapsed_time: 96.53250 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9589 | 9589 | 0.9936 True +3297 | 3297 | 0.9935 True +-------------------------------------------------------------------------------- +[345/3000] Train loss: 0.00524, Valid loss: 0.01931, Elapsed_time: 97.85127 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2164 | 2164 | 0.7066 True +7010 | 7010 | 0.9982 True +-------------------------------------------------------------------------------- +[350/3000] Train loss: 0.01660, Valid loss: 0.00459, Elapsed_time: 99.16311 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0627 | 0627 | 0.9978 True +8575 | 8575 | 0.9979 True +-------------------------------------------------------------------------------- +[10/3000] Train loss: 0.03117, Valid loss: 0.07155, Elapsed_time: 2.73166 +Current_accuracy : 91.000, Current_norm_ED : 0.9753 +Best_accuracy : 91.000, Best_norm_ED : 0.9753 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2134 | 2134 | 0.9954 True +7682 | 7682 | 0.9872 True +-------------------------------------------------------------------------------- +[20/3000] Train loss: 0.06101, Valid loss: 0.15744, Elapsed_time: 6.11570 +Current_accuracy : 86.000, Current_norm_ED : 0.9628 +Best_accuracy : 91.000, Best_norm_ED : 0.9753 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2017 | 2017 | 0.9763 True +8872 | 68872 | 0.6431 False +-------------------------------------------------------------------------------- +[30/3000] Train loss: 0.03713, Valid loss: 0.35908, Elapsed_time: 7.71114 +Current_accuracy : 71.500, Current_norm_ED : 0.9203 +Best_accuracy : 91.000, Best_norm_ED : 0.9753 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2665 | 2865 | 0.9369 False +3638 | 3638 | 0.9864 True +-------------------------------------------------------------------------------- +[40/3000] Train loss: 0.12717, Valid loss: 0.02260, Elapsed_time: 9.93826 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 98.000, Best_norm_ED : 0.9950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4638 | 4638 | 0.9934 True +8967 | 8967 | 0.9464 True +-------------------------------------------------------------------------------- +[50/3000] Train loss: 0.03236, Valid loss: 0.20554, Elapsed_time: 12.25818 +Current_accuracy : 86.000, Current_norm_ED : 0.9633 +Best_accuracy : 98.000, Best_norm_ED : 0.9950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7682 | 7682 | 0.9656 True +1572 | 1572 | 0.9918 True +-------------------------------------------------------------------------------- +[60/3000] Train loss: 0.02453, Valid loss: 0.03032, Elapsed_time: 13.83270 +Current_accuracy : 96.000, Current_norm_ED : 0.9903 +Best_accuracy : 98.000, Best_norm_ED : 0.9950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1960 | 1960 | 0.9947 True +0567 | 0567 | 0.9817 True +-------------------------------------------------------------------------------- +[70/3000] Train loss: 0.01347, Valid loss: 0.01210, Elapsed_time: 15.71673 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 98.000, Best_norm_ED : 0.9950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6919 | 6919 | 0.9900 True +0663 | 0663 | 0.9962 True +-------------------------------------------------------------------------------- +[80/3000] Train loss: 0.00391, Valid loss: 0.00583, Elapsed_time: 17.26573 +Current_accuracy : 99.500, Current_norm_ED : 0.9988 +Best_accuracy : 99.500, Best_norm_ED : 0.9988 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0816 | 0816 | 0.9932 True +3032 | 3032 | 0.9690 True +-------------------------------------------------------------------------------- +[90/3000] Train loss: 0.00166, Valid loss: 0.00290, Elapsed_time: 19.50418 +Current_accuracy : 100.000, Current_norm_ED : 1.0000 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3638 | 3638 | 0.9974 True +2433 | 2433 | 0.4908 True +-------------------------------------------------------------------------------- +[100/3000] Train loss: 0.13232, Valid loss: 0.03657, Elapsed_time: 22.03379 +Current_accuracy : 98.000, Current_norm_ED : 0.9950 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7695 | 7695 | 0.7722 True +0944 | 0944 | 0.8006 True +-------------------------------------------------------------------------------- +[110/3000] Train loss: 0.01464, Valid loss: 0.04414, Elapsed_time: 23.64093 +Current_accuracy : 97.500, Current_norm_ED : 0.9938 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9700 | 9700 | 0.7042 True +8744 | 8744 | 0.8095 True +-------------------------------------------------------------------------------- +[120/3000] Train loss: 0.03909, Valid loss: 0.03534, Elapsed_time: 25.22982 +Current_accuracy : 97.000, Current_norm_ED : 0.9925 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0155 | 0155 | 0.7246 True +7667 | 7667 | 0.9870 True +-------------------------------------------------------------------------------- diff --git a/trainer/saved_models/4digit/opt.txt b/trainer/saved_models/4digit/opt.txt index 850c833..93642ef 100644 --- a/trainer/saved_models/4digit/opt.txt +++ b/trainer/saved_models/4digit/opt.txt @@ -90,3 +90,417 @@ freeze_SequenceModeling: False character: 0123456789 num_class: 11 --------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: saved_models/4digit/best_accuracy.pth +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: saved_models/4digit/best_accuracy.pth +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 5 +saved_model: saved_models/4digit/best_accuracy.pth +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: None +lang_char: None +train_data: all_data +valid_data: all_data/4digit_valid +manualSeed: 1111 +workers: 6 +batch_size: 32 +num_iter: 3000 +valInterval: 10 +saved_model: saved_models/4digit/best_accuracy.pth +FT: False +optim: False +lr: 1.0 +beta1: 0.9 +rho: 0.95 +eps: 1e-08 +grad_clip: 5 +select_data: ['4digit_train'] +batch_ratio: ['1'] +total_data_usage_ratio: 1.0 +batch_max_length: 34 +imgH: 32 +imgW: 128 +rgb: True +contrast_adjust: 0.0 +sensitive: True +PAD: True +data_filtering_off: False +Transformation: TPS +FeatureExtraction: ResNet +SequenceModeling: BiLSTM +Prediction: CTC +num_fiducial: 20 +input_channel: 3 +output_channel: 256 +hidden_size: 256 +decode: greedy +new_prediction: False +freeze_FeatureFxtraction: False +freeze_SequenceModeling: False +character: 0123456789 +num_class: 11 +--------------------------------------- diff --git a/trainer/test.py b/trainer/test.py index 48eaa76..f6693f7 100644 --- a/trainer/test.py +++ b/trainer/test.py @@ -29,12 +29,12 @@ def validation(model, criterion, evaluation_loader, converter, opt, device): # For max length prediction length_for_pred = torch.IntTensor([opt.batch_max_length] * batch_size).to(device) text_for_pred = torch.LongTensor(batch_size, opt.batch_max_length + 1).fill_(0).to(device) - text_for_loss, length_for_loss = converter.encode(labels, batch_max_length=opt.batch_max_length) start_time = time.time() if 'CTC' in opt.Prediction: preds = model(image, text_for_pred) + # print(f"preds shape : {preds.shape}") forward_time = time.time() - start_time # Calculate evaluation loss for CTC decoder. diff --git a/trainer/train.py b/trainer/train.py index 33de589..9426e9e 100644 --- a/trainer/train.py +++ b/trainer/train.py @@ -213,6 +213,7 @@ def train(opt, show_number = 2, amp=False): preds = model(image, text).log_softmax(2) preds_size = torch.IntTensor([preds.size(1)] * batch_size) preds = preds.permute(1, 0, 2) + print(f"preds shape : {preds.shape}") torch.backends.cudnn.enabled = False cost = criterion(preds, text.to(device), preds_size.to(device), length.to(device)) torch.backends.cudnn.enabled = True @@ -265,6 +266,9 @@ def train(opt, show_number = 2, amp=False): #show_number = min(show_number, len(labels)) start = random.randint(0,len(labels) - show_number ) + print(f"start index for showing results: {start}") + print(f"labels length: {len(labels)}") + print(f"labels : {labels}") for gt, pred, confidence in zip(labels[start:start+show_number], preds[start:start+show_number], confidence_score[start:start+show_number]): if 'Attn' in opt.Prediction: gt = gt[:gt.find('[s]')]