diff --git a/trainer/config_files/4digit_config.yaml b/trainer/config_files/4digit_config.yaml index e1e298b..e84cb0e 100644 --- a/trainer/config_files/4digit_config.yaml +++ b/trainer/config_files/4digit_config.yaml @@ -1,7 +1,7 @@ number: '0123456789' experiment_name: '4digit' -symbol: "" -lang_char: '' +symbol: None +lang_char: None train_data: 'all_data' valid_data: 'all_data/4digit_valid' manualSeed: 1111 @@ -9,8 +9,7 @@ workers: 6 batch_size: 32 #32 num_iter: 3000 valInterval: 5 -# saved_model: '' #'saved_models/en_filtered/iter_300000.pth' -svaed_model: 'saved_models/4digit/iter_3000.pth' +saved_model: '' #'saved_models/en_filtered/iter_300000.pth' FT: False optim: False # default is Adadelta lr: 1. diff --git a/trainer/config_files/en_filtered_config.yaml b/trainer/config_files/en_filtered_config.yaml index ce370a7..bb636b4 100644 --- a/trainer/config_files/en_filtered_config.yaml +++ b/trainer/config_files/en_filtered_config.yaml @@ -31,7 +31,7 @@ PAD: True contrast_adjust: 0.0 data_filtering_off: False # Model Architecture -Transformation: 'None' +Transformation: 'TPS' FeatureExtraction: 'ResNet' SequenceModeling: 'BiLSTM' Prediction: 'CTC' diff --git a/trainer/dataset.py b/trainer/dataset.py index 812cafd..48bb31e 100644 --- a/trainer/dataset.py +++ b/trainer/dataset.py @@ -121,6 +121,9 @@ def hierarchical_dataset(root, opt, select_data='/'): print(dataset_log) dataset_log += '\n' for dirpath, dirnames, filenames in os.walk(root+'/'): + print(f"dirpath : {dirpath}") + print(f"dirnames : {dirnames}") + if not dirnames: select_flag = False for selected_d in select_data: @@ -146,7 +149,7 @@ class OCRDataset(Dataset): self.root = root self.opt = opt print(root) - self.df = pd.read_csv(os.path.join(root,'labels.csv'), sep='^([^,]+),', engine='python', usecols=['filename', 'words'], keep_default_na=False) + self.df = pd.read_csv(os.path.join(root,'labels.csv'), sep='^([^,]+),',dtype={'words': str}, engine='python', usecols=['filename', 'words'], keep_default_na=False) self.nSamples = len(self.df) if self.opt.data_filtering_off: @@ -159,7 +162,7 @@ class OCRDataset(Dataset): if len(label) > self.opt.batch_max_length: continue except: - print(label) + print(f"type of label {type(label)} \n {label}") out_of_char = f'[^{self.opt.character}]' if re.search(out_of_char, label.lower()): continue diff --git a/trainer/saved_models/4digit/best_accuracy.pth b/trainer/saved_models/4digit/best_accuracy.pth new file mode 100644 index 0000000..4232f42 Binary files /dev/null and b/trainer/saved_models/4digit/best_accuracy.pth differ diff --git a/trainer/saved_models/4digit/best_norm_ED.pth b/trainer/saved_models/4digit/best_norm_ED.pth new file mode 100644 index 0000000..2703c31 Binary files /dev/null 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 new file mode 100644 index 0000000..5e59915 --- /dev/null +++ b/trainer/saved_models/4digit/log_dataset.txt @@ -0,0 +1,130 @@ +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['4digit_train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +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 new file mode 100644 index 0000000..60777dd --- /dev/null +++ b/trainer/saved_models/4digit/log_train.txt @@ -0,0 +1,5400 @@ +[5/3000] Train loss: 6.15357, Valid loss: 6.34551, Elapsed_time: 2.95216 +Current_accuracy : 0.000, Current_norm_ED : 0.0175 +Best_accuracy : 0.000, Best_norm_ED : 0.0175 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8902 | 9 | 0.0000 False +9970 | | 0.0000 False +-------------------------------------------------------------------------------- +[10/3000] Train loss: 3.34047, Valid loss: 3.03158, Elapsed_time: 5.17482 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0175 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8030 | | 0.1430 False +5334 | | 0.1017 False +-------------------------------------------------------------------------------- +[15/3000] Train loss: 3.26479, Valid loss: 3.18853, Elapsed_time: 6.36603 +Current_accuracy : 0.000, Current_norm_ED : 0.0013 +Best_accuracy : 0.000, Best_norm_ED : 0.0175 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3389 | | 0.0001 False +8939 | | 0.0001 False +-------------------------------------------------------------------------------- +[20/3000] Train loss: 3.23361, Valid loss: 3.39625, Elapsed_time: 7.56896 +Current_accuracy : 0.000, Current_norm_ED : 0.0000 +Best_accuracy : 0.000, Best_norm_ED : 0.0175 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9922 | | 0.1028 False +6391 | | 0.1172 False +-------------------------------------------------------------------------------- +[25/3000] Train loss: 2.94147, Valid loss: 2.93139, Elapsed_time: 8.70730 +Current_accuracy : 0.000, Current_norm_ED : 0.1437 +Best_accuracy : 0.000, Best_norm_ED : 0.1437 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6825 | 87 | 0.0000 False +5827 | 847 | 0.0000 False +-------------------------------------------------------------------------------- +[30/3000] Train loss: 2.72880, Valid loss: 2.55377, Elapsed_time: 10.23276 +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 +-------------------------------------------------------------------------------- +2981 | 03 | 0.0004 False +5904 | 98 | 0.0006 False +-------------------------------------------------------------------------------- +[35/3000] Train loss: 2.54151, Valid loss: 2.79385, Elapsed_time: 12.38323 +Current_accuracy : 0.000, Current_norm_ED : 0.1512 +Best_accuracy : 0.000, Best_norm_ED : 0.1525 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2917 | 88 | 0.0001 False +6373 | 96 | 0.0004 False +-------------------------------------------------------------------------------- +[40/3000] Train loss: 2.57235, Valid loss: 2.61277, Elapsed_time: 13.64581 +Current_accuracy : 0.000, Current_norm_ED : 0.1487 +Best_accuracy : 0.000, Best_norm_ED : 0.1525 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0311 | 81 | 0.0017 False +2078 | 79 | 0.0040 False +-------------------------------------------------------------------------------- +[45/3000] Train loss: 2.69158, Valid loss: 2.52850, Elapsed_time: 14.85014 +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 +-------------------------------------------------------------------------------- +2117 | 23 | 0.0010 False +0998 | 8683 | 0.0005 False +-------------------------------------------------------------------------------- +[50/3000] Train loss: 2.53711, Valid loss: 2.78197, Elapsed_time: 16.41474 +Current_accuracy : 0.000, Current_norm_ED : 0.1850 +Best_accuracy : 0.000, Best_norm_ED : 0.1850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0998 | 680 | 0.0003 False +2140 | 670 | 0.0002 False +-------------------------------------------------------------------------------- +[55/3000] Train loss: 2.71310, Valid loss: 2.56376, Elapsed_time: 17.93715 +Current_accuracy : 0.000, Current_norm_ED : 0.1825 +Best_accuracy : 0.000, Best_norm_ED : 0.1850 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5187 | 612 | 0.0009 False +9490 | 12 | 0.0010 False +-------------------------------------------------------------------------------- +[60/3000] Train loss: 2.56938, Valid loss: 2.49067, Elapsed_time: 19.23602 +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 +-------------------------------------------------------------------------------- +3305 | 69 | 0.0023 False +2605 | 249 | 0.0010 False +-------------------------------------------------------------------------------- +[65/3000] Train loss: 2.43882, Valid loss: 2.42865, Elapsed_time: 21.22233 +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 +-------------------------------------------------------------------------------- +6323 | 872 | 0.0010 False +5634 | 88 | 0.0030 False +-------------------------------------------------------------------------------- +[70/3000] Train loss: 2.27009, Valid loss: 2.47390, Elapsed_time: 22.55902 +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 +-------------------------------------------------------------------------------- +0786 | 96 | 0.0026 False +0439 | 96 | 0.0040 False +-------------------------------------------------------------------------------- +[75/3000] Train loss: 2.23733, Valid loss: 2.91662, Elapsed_time: 24.11343 +Current_accuracy : 0.000, Current_norm_ED : 0.1600 +Best_accuracy : 0.000, Best_norm_ED : 0.2025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7654 | 19 | 0.0082 False +4977 | 92 | 0.0185 False +-------------------------------------------------------------------------------- +[80/3000] Train loss: 2.25114, Valid loss: 2.09856, Elapsed_time: 25.32910 +Current_accuracy : 0.500, Current_norm_ED : 0.3000 +Best_accuracy : 0.500, Best_norm_ED : 0.3000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0083 | 5450 | 0.0024 False +9300 | 0450 | 0.0020 False +-------------------------------------------------------------------------------- +[85/3000] Train loss: 2.05935, Valid loss: 2.08270, Elapsed_time: 27.19194 +Current_accuracy : 0.500, Current_norm_ED : 0.2750 +Best_accuracy : 0.500, Best_norm_ED : 0.3000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8641 | 81 | 0.0287 False +9005 | 883 | 0.0034 False +-------------------------------------------------------------------------------- +[90/3000] Train loss: 1.99991, Valid loss: 1.93836, Elapsed_time: 28.48985 +Current_accuracy : 0.000, Current_norm_ED : 0.3100 +Best_accuracy : 0.500, Best_norm_ED : 0.3100 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2117 | 217 | 0.0247 False +0311 | 321 | 0.0068 False +-------------------------------------------------------------------------------- +[95/3000] Train loss: 1.95297, Valid loss: 1.96147, Elapsed_time: 30.03802 +Current_accuracy : 0.500, Current_norm_ED : 0.3463 +Best_accuracy : 0.500, Best_norm_ED : 0.3463 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7933 | 787 | 0.0133 False +5183 | 211 | 0.0143 False +-------------------------------------------------------------------------------- +[100/3000] Train loss: 1.75126, Valid loss: 2.28678, Elapsed_time: 32.01515 +Current_accuracy : 0.000, Current_norm_ED : 0.2650 +Best_accuracy : 0.500, Best_norm_ED : 0.3463 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3563 | 237 | 0.0085 False +7278 | 714 | 0.0250 False +-------------------------------------------------------------------------------- +[105/3000] Train loss: 1.66075, Valid loss: 1.69766, Elapsed_time: 33.26302 +Current_accuracy : 1.000, Current_norm_ED : 0.3912 +Best_accuracy : 1.000, Best_norm_ED : 0.3912 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0132 | 312 | 0.0204 False +3019 | 329 | 0.0131 False +-------------------------------------------------------------------------------- +[110/3000] Train loss: 1.62794, Valid loss: 1.67672, Elapsed_time: 35.10927 +Current_accuracy : 0.500, Current_norm_ED : 0.3975 +Best_accuracy : 1.000, Best_norm_ED : 0.3975 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5912 | 561 | 0.0115 False +7475 | 1575 | 0.0081 False +-------------------------------------------------------------------------------- +[115/3000] Train loss: 1.57964, Valid loss: 1.43861, Elapsed_time: 36.69273 +Current_accuracy : 1.500, Current_norm_ED : 0.4650 +Best_accuracy : 1.500, Best_norm_ED : 0.4650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6391 | 6361 | 0.0397 False +9754 | 674 | 0.0699 False +-------------------------------------------------------------------------------- +[120/3000] Train loss: 1.49971, Valid loss: 1.65772, Elapsed_time: 38.62244 +Current_accuracy : 3.500, Current_norm_ED : 0.4250 +Best_accuracy : 3.500, Best_norm_ED : 0.4650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8476 | 6116 | 0.0258 False +8030 | 652 | 0.0295 False +-------------------------------------------------------------------------------- +[125/3000] Train loss: 1.40676, Valid loss: 1.52045, Elapsed_time: 40.14887 +Current_accuracy : 2.000, Current_norm_ED : 0.4437 +Best_accuracy : 3.500, Best_norm_ED : 0.4650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5464 | 344 | 0.0452 False +7747 | 127 | 0.0392 False +-------------------------------------------------------------------------------- +[130/3000] Train loss: 1.54655, Valid loss: 1.79015, Elapsed_time: 41.71537 +Current_accuracy : 0.000, Current_norm_ED : 0.3713 +Best_accuracy : 3.500, Best_norm_ED : 0.4650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3279 | 4218 | 0.0253 False +3031 | 281 | 0.0481 False +-------------------------------------------------------------------------------- +[135/3000] Train loss: 1.30307, Valid loss: 1.38107, Elapsed_time: 43.03498 +Current_accuracy : 2.500, Current_norm_ED : 0.4913 +Best_accuracy : 3.500, Best_norm_ED : 0.4913 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8858 | 88 | 0.0277 False +2521 | 21 | 0.0553 False +-------------------------------------------------------------------------------- +[140/3000] Train loss: 1.21187, Valid loss: 1.04129, Elapsed_time: 44.57135 +Current_accuracy : 16.000, Current_norm_ED : 0.6475 +Best_accuracy : 16.000, Best_norm_ED : 0.6475 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9545 | 9545 | 0.0689 True +3031 | 3051 | 0.0419 False +-------------------------------------------------------------------------------- +[145/3000] Train loss: 1.07772, Valid loss: 1.43619, Elapsed_time: 46.39222 +Current_accuracy : 5.000, Current_norm_ED : 0.5225 +Best_accuracy : 16.000, Best_norm_ED : 0.6475 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0261 | 0281 | 0.0511 False +1040 | 7040 | 0.1996 False +-------------------------------------------------------------------------------- +[150/3000] Train loss: 1.22868, Valid loss: 1.10018, Elapsed_time: 47.66377 +Current_accuracy : 9.500, Current_norm_ED : 0.5938 +Best_accuracy : 16.000, Best_norm_ED : 0.6475 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8194 | 6154 | 0.1242 False +9011 | 601 | 0.0859 False +-------------------------------------------------------------------------------- +[155/3000] Train loss: 1.28918, Valid loss: 1.28745, Elapsed_time: 48.93904 +Current_accuracy : 7.000, Current_norm_ED : 0.5650 +Best_accuracy : 16.000, Best_norm_ED : 0.6475 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7051 | 7051 | 0.2398 True +3854 | 3954 | 0.0916 False +-------------------------------------------------------------------------------- +[160/3000] Train loss: 1.06411, Valid loss: 0.93347, Elapsed_time: 50.52619 +Current_accuracy : 18.000, Current_norm_ED : 0.6950 +Best_accuracy : 18.000, Best_norm_ED : 0.6950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4044 | 404 | 0.1277 False +6373 | 6213 | 0.0557 False +-------------------------------------------------------------------------------- +[165/3000] Train loss: 0.88634, Valid loss: 0.83541, Elapsed_time: 52.39945 +Current_accuracy : 17.000, Current_norm_ED : 0.6825 +Best_accuracy : 18.000, Best_norm_ED : 0.6950 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3563 | 3563 | 0.1226 True +9329 | 9319 | 0.1937 False +-------------------------------------------------------------------------------- +[170/3000] Train loss: 0.87776, Valid loss: 0.85672, Elapsed_time: 53.66002 +Current_accuracy : 22.500, Current_norm_ED : 0.7000 +Best_accuracy : 22.500, Best_norm_ED : 0.7000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1475 | 1425 | 0.2551 False +9436 | 9436 | 0.1994 True +-------------------------------------------------------------------------------- +[175/3000] Train loss: 0.90798, Valid loss: 0.73495, Elapsed_time: 55.50740 +Current_accuracy : 23.500, Current_norm_ED : 0.7025 +Best_accuracy : 23.500, Best_norm_ED : 0.7025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6014 | 8014 | 0.4192 False +3982 | 3962 | 0.1077 False +-------------------------------------------------------------------------------- +[180/3000] Train loss: 0.82042, Valid loss: 1.21454, Elapsed_time: 57.32551 +Current_accuracy : 15.500, Current_norm_ED : 0.6438 +Best_accuracy : 23.500, Best_norm_ED : 0.7025 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7408 | 7408 | 0.0574 True +4313 | 4313 | 0.2984 True +-------------------------------------------------------------------------------- +[185/3000] Train loss: 0.76020, Valid loss: 0.64336, Elapsed_time: 58.56036 +Current_accuracy : 30.500, Current_norm_ED : 0.7700 +Best_accuracy : 30.500, Best_norm_ED : 0.7700 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7731 | 71 | 0.2428 False +9139 | 9139 | 0.3392 True +-------------------------------------------------------------------------------- +[190/3000] Train loss: 0.69643, Valid loss: 1.12288, Elapsed_time: 60.34529 +Current_accuracy : 16.500, Current_norm_ED : 0.6643 +Best_accuracy : 30.500, Best_norm_ED : 0.7700 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4361 | 491 | 0.0720 False +3019 | 3019 | 0.3238 True +-------------------------------------------------------------------------------- +[195/3000] Train loss: 1.01436, Valid loss: 1.06371, Elapsed_time: 61.93393 +Current_accuracy : 17.000, Current_norm_ED : 0.6675 +Best_accuracy : 30.500, Best_norm_ED : 0.7700 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5145 | 5145 | 0.4313 True +2878 | 2028 | 0.3517 False +-------------------------------------------------------------------------------- +[200/3000] Train loss: 0.65565, Valid loss: 0.89003, Elapsed_time: 63.23362 +Current_accuracy : 30.500, Current_norm_ED : 0.7705 +Best_accuracy : 30.500, Best_norm_ED : 0.7705 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0146 | 0146 | 0.3652 True +6747 | 6747 | 0.4640 True +-------------------------------------------------------------------------------- +[205/3000] Train loss: 0.66711, Valid loss: 0.56922, Elapsed_time: 64.83052 +Current_accuracy : 31.500, Current_norm_ED : 0.7762 +Best_accuracy : 31.500, Best_norm_ED : 0.7762 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2345 | 2345 | 0.5867 True +2878 | 2676 | 0.3171 False +-------------------------------------------------------------------------------- +[210/3000] Train loss: 0.46822, Valid loss: 0.58148, Elapsed_time: 66.64859 +Current_accuracy : 39.000, Current_norm_ED : 0.8133 +Best_accuracy : 39.000, Best_norm_ED : 0.8133 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9754 | 9754 | 0.5418 True +7595 | 7595 | 0.3941 True +-------------------------------------------------------------------------------- +[215/3000] Train loss: 0.37621, Valid loss: 0.42992, Elapsed_time: 68.49867 +Current_accuracy : 56.500, Current_norm_ED : 0.8650 +Best_accuracy : 56.500, Best_norm_ED : 0.8650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8858 | 895 | 0.1383 False +1870 | 1870 | 0.2816 True +-------------------------------------------------------------------------------- +[220/3000] Train loss: 0.43376, Valid loss: 0.51809, Elapsed_time: 70.31616 +Current_accuracy : 41.000, Current_norm_ED : 0.8180 +Best_accuracy : 56.500, Best_norm_ED : 0.8650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2492 | 2492 | 0.5586 True +0261 | 0281 | 0.4850 False +-------------------------------------------------------------------------------- +[225/3000] Train loss: 0.36625, Valid loss: 0.40989, Elapsed_time: 71.86604 +Current_accuracy : 49.000, Current_norm_ED : 0.8478 +Best_accuracy : 56.500, Best_norm_ED : 0.8650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2070 | 2070 | 0.5777 True +8115 | 8115 | 0.6340 True +-------------------------------------------------------------------------------- +[230/3000] Train loss: 0.32351, Valid loss: 0.40454, Elapsed_time: 73.20268 +Current_accuracy : 43.500, Current_norm_ED : 0.8237 +Best_accuracy : 56.500, Best_norm_ED : 0.8650 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1082 | 1082 | 0.4199 True +4695 | 4895 | 0.4807 False +-------------------------------------------------------------------------------- +[235/3000] Train loss: 0.27369, Valid loss: 0.24508, Elapsed_time: 74.50239 +Current_accuracy : 71.000, Current_norm_ED : 0.9250 +Best_accuracy : 71.000, Best_norm_ED : 0.9250 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6805 | 6805 | 0.0969 True +2078 | 2079 | 0.6110 False +-------------------------------------------------------------------------------- +[240/3000] Train loss: 0.17516, Valid loss: 0.37696, Elapsed_time: 76.36792 +Current_accuracy : 53.500, Current_norm_ED : 0.8700 +Best_accuracy : 71.000, Best_norm_ED : 0.9250 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5904 | 5904 | 0.8683 True +6381 | 6361 | 0.5886 False +-------------------------------------------------------------------------------- +[245/3000] Train loss: 0.20278, Valid loss: 0.16678, Elapsed_time: 77.66121 +Current_accuracy : 85.000, Current_norm_ED : 0.9600 +Best_accuracy : 85.000, Best_norm_ED : 0.9600 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2853 | 2853 | 0.6859 True +7595 | 7595 | 0.8668 True +-------------------------------------------------------------------------------- +[250/3000] Train loss: 0.19482, Valid loss: 0.40117, Elapsed_time: 79.50642 +Current_accuracy : 65.500, Current_norm_ED : 0.9080 +Best_accuracy : 85.000, Best_norm_ED : 0.9600 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0187 | 0187 | 0.4941 True +5218 | 5218 | 0.7597 True +-------------------------------------------------------------------------------- +[255/3000] Train loss: 0.22283, Valid loss: 0.29159, Elapsed_time: 80.78800 +Current_accuracy : 63.500, Current_norm_ED : 0.9002 +Best_accuracy : 85.000, Best_norm_ED : 0.9600 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0187 | 0167 | 0.5816 False +4846 | 4646 | 0.3605 False +-------------------------------------------------------------------------------- +[260/3000] Train loss: 0.16510, Valid loss: 0.56420, Elapsed_time: 82.40457 +Current_accuracy : 53.000, Current_norm_ED : 0.8688 +Best_accuracy : 85.000, Best_norm_ED : 0.9600 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5904 | 5904 | 0.6676 True +1475 | 1476 | 0.9008 False +-------------------------------------------------------------------------------- +[265/3000] Train loss: 0.57780, Valid loss: 0.28436, Elapsed_time: 83.71473 +Current_accuracy : 57.500, Current_norm_ED : 0.8767 +Best_accuracy : 85.000, Best_norm_ED : 0.9600 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8939 | 8939 | 0.5516 True +7595 | 7595 | 0.7677 True +-------------------------------------------------------------------------------- +[270/3000] Train loss: 0.21077, Valid loss: 1.51547, Elapsed_time: 84.98917 +Current_accuracy : 31.000, Current_norm_ED : 0.7200 +Best_accuracy : 85.000, Best_norm_ED : 0.9600 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5145 | 5145 | 0.9330 True +2981 | 2901 | 0.7241 False +-------------------------------------------------------------------------------- +[275/3000] Train loss: 0.14610, Valid loss: 0.24164, Elapsed_time: 86.26113 +Current_accuracy : 72.000, Current_norm_ED : 0.9278 +Best_accuracy : 85.000, Best_norm_ED : 0.9600 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6591 | 691 | 0.8416 False +4695 | 4695 | 0.7830 True +-------------------------------------------------------------------------------- +[280/3000] Train loss: 0.09337, Valid loss: 0.12033, Elapsed_time: 87.50228 +Current_accuracy : 87.500, Current_norm_ED : 0.9690 +Best_accuracy : 87.500, Best_norm_ED : 0.9690 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6825 | 6825 | 0.7046 True +7655 | 7655 | 0.1650 True +-------------------------------------------------------------------------------- +[285/3000] Train loss: 0.12058, Valid loss: 0.06194, Elapsed_time: 89.35696 +Current_accuracy : 94.000, Current_norm_ED : 0.9840 +Best_accuracy : 94.000, Best_norm_ED : 0.9840 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3389 | 3389 | 0.5608 True +8067 | 8067 | 0.8284 True +-------------------------------------------------------------------------------- +[290/3000] Train loss: 0.10769, Valid loss: 0.04870, Elapsed_time: 91.48901 +Current_accuracy : 97.000, Current_norm_ED : 0.9928 +Best_accuracy : 97.000, Best_norm_ED : 0.9928 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0146 | 0146 | 0.9010 True +2016 | 2016 | 0.9290 True +-------------------------------------------------------------------------------- +[295/3000] Train loss: 0.03907, Valid loss: 0.02825, Elapsed_time: 93.34486 +Current_accuracy : 99.000, Current_norm_ED : 0.9975 +Best_accuracy : 99.000, Best_norm_ED : 0.9975 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5053 | 5053 | 0.9368 True +4295 | 4295 | 0.9467 True +-------------------------------------------------------------------------------- +[300/3000] Train loss: 0.03147, Valid loss: 0.02561, Elapsed_time: 95.18066 +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 +-------------------------------------------------------------------------------- +5493 | 5493 | 0.9585 True +4374 | 4374 | 0.9467 True +-------------------------------------------------------------------------------- +[305/3000] Train loss: 0.11272, Valid loss: 0.17732, Elapsed_time: 97.00525 +Current_accuracy : 81.000, Current_norm_ED : 0.9530 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4318 | 4318 | 0.9284 True +8005 | 8005 | 0.9118 True +-------------------------------------------------------------------------------- +[310/3000] Train loss: 0.06170, Valid loss: 0.03709, Elapsed_time: 98.29532 +Current_accuracy : 97.000, Current_norm_ED : 0.9928 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2886 | 2886 | 0.8009 True +3250 | 3250 | 0.8861 True +-------------------------------------------------------------------------------- +[315/3000] Train loss: 0.02777, Valid loss: 0.02195, Elapsed_time: 99.50922 +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 +-------------------------------------------------------------------------------- +7051 | 7051 | 0.9760 True +9011 | 9011 | 0.4139 True +-------------------------------------------------------------------------------- +[320/3000] Train loss: 0.01999, Valid loss: 0.01848, Elapsed_time: 101.00975 +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 +-------------------------------------------------------------------------------- +6060 | 6060 | 0.9309 True +0998 | 0998 | 0.7994 True +-------------------------------------------------------------------------------- +[325/3000] Train loss: 0.05655, Valid loss: 0.02391, Elapsed_time: 102.25712 +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 +-------------------------------------------------------------------------------- +9725 | 9725 | 0.9794 True +8051 | 8051 | 0.9639 True +-------------------------------------------------------------------------------- +[330/3000] Train loss: 0.04739, Valid loss: 0.02328, Elapsed_time: 103.52074 +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 +-------------------------------------------------------------------------------- +8194 | 8194 | 0.9661 True +8051 | 8051 | 0.9533 True +-------------------------------------------------------------------------------- +[335/3000] Train loss: 0.01528, Valid loss: 0.01414, Elapsed_time: 104.79393 +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 +-------------------------------------------------------------------------------- +5065 | 5065 | 0.9530 True +0834 | 0834 | 0.9439 True +-------------------------------------------------------------------------------- +[340/3000] Train loss: 0.01247, Valid loss: 0.01098, Elapsed_time: 106.05619 +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 +-------------------------------------------------------------------------------- +4816 | 4816 | 0.9564 True +8303 | 8303 | 0.9621 True +-------------------------------------------------------------------------------- +[345/3000] Train loss: 0.00986, Valid loss: 0.00924, Elapsed_time: 107.27082 +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 +-------------------------------------------------------------------------------- +5720 | 5720 | 0.9529 True +4018 | 4018 | 0.9815 True +-------------------------------------------------------------------------------- +[350/3000] Train loss: 0.00858, Valid loss: 0.00833, Elapsed_time: 108.51684 +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 +-------------------------------------------------------------------------------- +6323 | 6323 | 0.9824 True +4295 | 4295 | 0.9806 True +-------------------------------------------------------------------------------- +[355/3000] Train loss: 0.00794, Valid loss: 0.00704, Elapsed_time: 110.05303 +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 +-------------------------------------------------------------------------------- +9797 | 9797 | 0.9863 True +3191 | 3191 | 0.9819 True +-------------------------------------------------------------------------------- +[360/3000] Train loss: 0.00641, Valid loss: 0.00664, Elapsed_time: 111.31925 +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 +-------------------------------------------------------------------------------- +9005 | 9005 | 0.9786 True +2016 | 2016 | 0.9754 True +-------------------------------------------------------------------------------- +[365/3000] Train loss: 0.00626, Valid loss: 0.00609, Elapsed_time: 112.58390 +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 +-------------------------------------------------------------------------------- +0146 | 0146 | 0.9849 True +3312 | 3312 | 0.6231 True +-------------------------------------------------------------------------------- +[370/3000] Train loss: 0.00609, Valid loss: 0.00575, Elapsed_time: 113.86241 +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 +-------------------------------------------------------------------------------- +1155 | 1155 | 0.3422 True +6381 | 6381 | 0.9849 True +-------------------------------------------------------------------------------- +[375/3000] Train loss: 0.00567, Valid loss: 0.00526, Elapsed_time: 115.10981 +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 +-------------------------------------------------------------------------------- +4361 | 4361 | 0.9856 True +3308 | 3308 | 0.6981 True +-------------------------------------------------------------------------------- +[380/3000] Train loss: 0.00510, Valid loss: 0.00516, Elapsed_time: 116.37020 +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 +-------------------------------------------------------------------------------- +4786 | 4786 | 0.9694 True +7654 | 7654 | 0.9792 True +-------------------------------------------------------------------------------- +[385/3000] Train loss: 0.00514, Valid loss: 0.00480, Elapsed_time: 117.94512 +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 +-------------------------------------------------------------------------------- +6381 | 6381 | 0.9876 True +1667 | 1667 | 0.9878 True +-------------------------------------------------------------------------------- +[390/3000] Train loss: 0.00460, Valid loss: 0.00450, Elapsed_time: 119.28121 +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 +-------------------------------------------------------------------------------- +5012 | 5012 | 0.9870 True +2262 | 2262 | 0.4320 True +-------------------------------------------------------------------------------- +[395/3000] Train loss: 0.00396, Valid loss: 0.00403, Elapsed_time: 120.53575 +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 +-------------------------------------------------------------------------------- +1432 | 1432 | 0.9802 True +7043 | 7043 | 0.9956 True +-------------------------------------------------------------------------------- +[400/3000] Train loss: 0.00361, Valid loss: 0.00372, Elapsed_time: 121.80784 +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 +-------------------------------------------------------------------------------- +9148 | 9148 | 0.9928 True +2140 | 2140 | 0.9920 True +-------------------------------------------------------------------------------- +[405/3000] Train loss: 0.00372, Valid loss: 0.00353, Elapsed_time: 123.05842 +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 +-------------------------------------------------------------------------------- +9300 | 9300 | 0.8505 True +6248 | 6248 | 0.9939 True +-------------------------------------------------------------------------------- +[410/3000] Train loss: 0.00334, Valid loss: 0.00338, Elapsed_time: 124.32198 +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 +-------------------------------------------------------------------------------- +9005 | 9005 | 0.9890 True +8902 | 8902 | 0.9746 True +-------------------------------------------------------------------------------- +[415/3000] Train loss: 0.00322, Valid loss: 0.00300, Elapsed_time: 125.57581 +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 +-------------------------------------------------------------------------------- +9589 | 9589 | 0.9797 True +5187 | 5187 | 0.9899 True +-------------------------------------------------------------------------------- +[420/3000] Train loss: 0.00282, Valid loss: 0.00287, Elapsed_time: 127.14434 +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 +-------------------------------------------------------------------------------- +9083 | 9083 | 0.9908 True +4816 | 4816 | 0.9858 True +-------------------------------------------------------------------------------- +[425/3000] Train loss: 0.00268, Valid loss: 0.00264, Elapsed_time: 128.36527 +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 | 0.9918 True +7654 | 7654 | 0.9863 True +-------------------------------------------------------------------------------- +[430/3000] Train loss: 0.00243, Valid loss: 0.00265, Elapsed_time: 129.58258 +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 +-------------------------------------------------------------------------------- +2492 | 2492 | 0.9939 True +0786 | 0786 | 0.9840 True +-------------------------------------------------------------------------------- +[435/3000] Train loss: 0.00225, Valid loss: 0.00229, Elapsed_time: 130.83045 +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 +-------------------------------------------------------------------------------- +3019 | 3019 | 0.9911 True +9184 | 9184 | 0.9938 True +-------------------------------------------------------------------------------- +[440/3000] Train loss: 0.00232, Valid loss: 0.00232, Elapsed_time: 132.07014 +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 +-------------------------------------------------------------------------------- +1040 | 1040 | 0.9947 True +0187 | 0187 | 0.9937 True +-------------------------------------------------------------------------------- +[445/3000] Train loss: 0.00200, Valid loss: 0.00218, Elapsed_time: 133.32409 +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 +-------------------------------------------------------------------------------- +8521 | 8521 | 0.9922 True +3019 | 3019 | 0.9916 True +-------------------------------------------------------------------------------- +[450/3000] Train loss: 0.00224, Valid loss: 0.00202, Elapsed_time: 134.90423 +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 +-------------------------------------------------------------------------------- +5708 | 5708 | 0.9941 True +1936 | 1936 | 0.9892 True +-------------------------------------------------------------------------------- +[455/3000] Train loss: 0.00174, Valid loss: 0.00192, Elapsed_time: 136.24743 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9931 True +8939 | 8939 | 0.9877 True +-------------------------------------------------------------------------------- +[460/3000] Train loss: 0.00170, Valid loss: 0.00192, Elapsed_time: 137.48925 +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 +-------------------------------------------------------------------------------- +5053 | 5053 | 0.9927 True +7654 | 7654 | 0.9900 True +-------------------------------------------------------------------------------- +[465/3000] Train loss: 0.00169, Valid loss: 0.00171, Elapsed_time: 138.79272 +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 +-------------------------------------------------------------------------------- +6275 | 6275 | 0.9958 True +3148 | 3148 | 0.9965 True +-------------------------------------------------------------------------------- +[470/3000] Train loss: 0.00174, Valid loss: 0.00168, Elapsed_time: 140.04161 +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 +-------------------------------------------------------------------------------- +1839 | 1839 | 0.9952 True +9089 | 9089 | 0.9888 True +-------------------------------------------------------------------------------- +[475/3000] Train loss: 0.00143, Valid loss: 0.00163, Elapsed_time: 141.28478 +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 +-------------------------------------------------------------------------------- +7744 | 7744 | 0.4047 True +9725 | 9725 | 0.9983 True +-------------------------------------------------------------------------------- +[480/3000] Train loss: 0.00192, Valid loss: 0.00163, Elapsed_time: 142.84583 +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 +-------------------------------------------------------------------------------- +8115 | 8115 | 0.9970 True +9807 | 9807 | 0.9914 True +-------------------------------------------------------------------------------- +[485/3000] Train loss: 0.00136, Valid loss: 0.00151, Elapsed_time: 144.13031 +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 +-------------------------------------------------------------------------------- +9970 | 9970 | 0.8637 True +2492 | 2492 | 0.9963 True +-------------------------------------------------------------------------------- +[490/3000] Train loss: 0.00134, Valid loss: 0.00140, Elapsed_time: 145.39003 +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 +-------------------------------------------------------------------------------- +2070 | 2070 | 0.9902 True +1475 | 1475 | 0.9960 True +-------------------------------------------------------------------------------- +[495/3000] Train loss: 0.00133, Valid loss: 0.00133, Elapsed_time: 146.63221 +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 +-------------------------------------------------------------------------------- +6462 | 6462 | 0.9947 True +7893 | 7893 | 0.9950 True +-------------------------------------------------------------------------------- +[500/3000] Train loss: 0.00116, Valid loss: 0.00133, Elapsed_time: 147.88891 +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 +-------------------------------------------------------------------------------- +7435 | 7435 | 0.9943 True +3982 | 3982 | 0.9963 True +-------------------------------------------------------------------------------- +[505/3000] Train loss: 0.00114, Valid loss: 0.00119, Elapsed_time: 149.15902 +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 +-------------------------------------------------------------------------------- +7157 | 7157 | 0.9942 True +9436 | 9436 | 0.9948 True +-------------------------------------------------------------------------------- +[510/3000] Train loss: 0.00120, Valid loss: 0.00117, Elapsed_time: 150.39012 +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 +-------------------------------------------------------------------------------- +4974 | 4974 | 0.9945 True +1475 | 1475 | 0.9965 True +-------------------------------------------------------------------------------- +[515/3000] Train loss: 0.00189, Valid loss: 0.00124, Elapsed_time: 151.95671 +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 +-------------------------------------------------------------------------------- +3312 | 3312 | 0.5612 True +7933 | 7933 | 0.6079 True +-------------------------------------------------------------------------------- +[520/3000] Train loss: 0.00179, Valid loss: 0.00137, Elapsed_time: 153.25724 +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 +-------------------------------------------------------------------------------- +6972 | 6972 | 0.9847 True +5504 | 5504 | 0.8598 True +-------------------------------------------------------------------------------- +[525/3000] Train loss: 0.00112, Valid loss: 0.00120, Elapsed_time: 154.54565 +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 +-------------------------------------------------------------------------------- +6462 | 6462 | 0.9958 True +6026 | 6026 | 0.9966 True +-------------------------------------------------------------------------------- +[530/3000] Train loss: 0.00128, Valid loss: 0.00109, Elapsed_time: 155.82446 +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 | 0.9962 True +9725 | 9725 | 0.9988 True +-------------------------------------------------------------------------------- +[535/3000] Train loss: 0.00100, Valid loss: 0.00104, Elapsed_time: 157.08218 +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 +-------------------------------------------------------------------------------- +0998 | 0998 | 0.9850 True +4048 | 4048 | 0.9981 True +-------------------------------------------------------------------------------- +[540/3000] Train loss: 0.00097, Valid loss: 0.00095, Elapsed_time: 158.37769 +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 +-------------------------------------------------------------------------------- +2867 | 2867 | 0.9963 True +0839 | 0839 | 0.9955 True +-------------------------------------------------------------------------------- +[545/3000] Train loss: 0.00096, Valid loss: 0.00096, Elapsed_time: 159.91478 +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 +-------------------------------------------------------------------------------- +7051 | 7051 | 0.9974 True +6972 | 6972 | 0.9933 True +-------------------------------------------------------------------------------- +[550/3000] Train loss: 0.00085, Valid loss: 0.00092, Elapsed_time: 161.27124 +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 +-------------------------------------------------------------------------------- +1636 | 1636 | 0.9918 True +8785 | 8785 | 0.9969 True +-------------------------------------------------------------------------------- +[555/3000] Train loss: 0.00086, Valid loss: 0.00088, Elapsed_time: 162.54810 +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 +-------------------------------------------------------------------------------- +9725 | 9725 | 0.9991 True +2358 | 2358 | 0.9932 True +-------------------------------------------------------------------------------- +[560/3000] Train loss: 0.00077, Valid loss: 0.00086, Elapsed_time: 163.84007 +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 +-------------------------------------------------------------------------------- +5720 | 5720 | 0.9937 True +8939 | 8939 | 0.9948 True +-------------------------------------------------------------------------------- +[565/3000] Train loss: 0.00077, Valid loss: 0.00083, Elapsed_time: 165.10346 +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 +-------------------------------------------------------------------------------- +8641 | 8641 | 0.9943 True +4677 | 4677 | 0.5274 True +-------------------------------------------------------------------------------- +[570/3000] Train loss: 0.00071, Valid loss: 0.00077, Elapsed_time: 166.32094 +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 +-------------------------------------------------------------------------------- +6275 | 6275 | 0.9981 True +6787 | 6787 | 0.9974 True +-------------------------------------------------------------------------------- +[575/3000] Train loss: 0.00095, Valid loss: 0.00088, Elapsed_time: 167.53737 +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 +-------------------------------------------------------------------------------- +7730 | 7730 | 0.7808 True +8892 | 8892 | 0.8927 True +-------------------------------------------------------------------------------- +[580/3000] Train loss: 0.00070, Valid loss: 0.00080, Elapsed_time: 169.09074 +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 +-------------------------------------------------------------------------------- +5334 | 5334 | 0.9960 True +0786 | 0786 | 0.9946 True +-------------------------------------------------------------------------------- +[585/3000] Train loss: 0.00078, Valid loss: 0.00077, Elapsed_time: 170.35095 +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 +-------------------------------------------------------------------------------- +5013 | 5013 | 0.9972 True +6462 | 6462 | 0.9973 True +-------------------------------------------------------------------------------- +[590/3000] Train loss: 0.00061, Valid loss: 0.00074, Elapsed_time: 171.62268 +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 +-------------------------------------------------------------------------------- +8839 | 8839 | 0.9329 True +8521 | 8521 | 0.9972 True +-------------------------------------------------------------------------------- +[595/3000] Train loss: 0.00065, Valid loss: 0.00070, Elapsed_time: 172.90510 +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 +-------------------------------------------------------------------------------- +5708 | 5708 | 0.9983 True +8303 | 8303 | 0.9962 True +-------------------------------------------------------------------------------- +[600/3000] Train loss: 0.00064, Valid loss: 0.00069, Elapsed_time: 174.11951 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9972 True +7595 | 7595 | 0.9972 True +-------------------------------------------------------------------------------- +[605/3000] Train loss: 0.00057, Valid loss: 0.00067, Elapsed_time: 175.35653 +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 | 0.9977 True +8170 | 8170 | 0.9964 True +-------------------------------------------------------------------------------- +[610/3000] Train loss: 0.00069, Valid loss: 0.00066, Elapsed_time: 176.90394 +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 +-------------------------------------------------------------------------------- +6026 | 6026 | 0.9981 True +4432 | 4432 | 0.6769 True +-------------------------------------------------------------------------------- +[615/3000] Train loss: 0.00059, Valid loss: 0.00064, Elapsed_time: 178.22962 +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 +-------------------------------------------------------------------------------- +1155 | 1155 | 0.4658 True +9054 | 9054 | 0.9933 True +-------------------------------------------------------------------------------- +[620/3000] Train loss: 0.00054, Valid loss: 0.00065, Elapsed_time: 179.52026 +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 +-------------------------------------------------------------------------------- +7655 | 7655 | 0.6375 True +7022 | 7022 | 0.6682 True +-------------------------------------------------------------------------------- +[625/3000] Train loss: 0.00053, Valid loss: 0.00066, Elapsed_time: 180.77700 +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 +-------------------------------------------------------------------------------- +3326 | 3326 | 0.4894 True +7408 | 7408 | 0.9982 True +-------------------------------------------------------------------------------- +[630/3000] Train loss: 0.00056, Valid loss: 0.00059, Elapsed_time: 182.02250 +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 +-------------------------------------------------------------------------------- +9300 | 9300 | 0.6787 True +6391 | 6391 | 0.9982 True +-------------------------------------------------------------------------------- +[635/3000] Train loss: 0.00053, Valid loss: 0.00059, Elapsed_time: 183.27001 +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 +-------------------------------------------------------------------------------- +6711 | 6711 | 0.4933 True +0604 | 0604 | 0.9984 True +-------------------------------------------------------------------------------- +[640/3000] Train loss: 0.00055, Valid loss: 0.00061, Elapsed_time: 184.83782 +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 +-------------------------------------------------------------------------------- +5187 | 5187 | 0.9977 True +1772 | 1772 | 0.9915 True +-------------------------------------------------------------------------------- +[645/3000] Train loss: 0.00048, Valid loss: 0.00057, Elapsed_time: 186.13621 +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 +-------------------------------------------------------------------------------- +6730 | 6730 | 0.9950 True +9148 | 9148 | 0.9988 True +-------------------------------------------------------------------------------- +[650/3000] Train loss: 0.00048, Valid loss: 0.00056, Elapsed_time: 187.40728 +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 +-------------------------------------------------------------------------------- +0604 | 0604 | 0.9985 True +5977 | 5977 | 0.5384 True +-------------------------------------------------------------------------------- +[655/3000] Train loss: 0.00048, Valid loss: 0.00052, Elapsed_time: 188.71679 +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 +-------------------------------------------------------------------------------- +0035 | 0035 | 0.7090 True +6323 | 6323 | 0.9988 True +-------------------------------------------------------------------------------- +[660/3000] Train loss: 0.00045, Valid loss: 0.00053, Elapsed_time: 190.03200 +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 +-------------------------------------------------------------------------------- +3929 | 3929 | 0.9985 True +9005 | 9005 | 0.9983 True +-------------------------------------------------------------------------------- +[665/3000] Train loss: 0.00046, Valid loss: 0.00051, Elapsed_time: 191.28949 +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 +-------------------------------------------------------------------------------- +3326 | 3326 | 0.4732 True +4361 | 4361 | 0.9984 True +-------------------------------------------------------------------------------- +[670/3000] Train loss: 0.00045, Valid loss: 0.00050, Elapsed_time: 192.53003 +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 +-------------------------------------------------------------------------------- +8051 | 8051 | 0.9982 True +9329 | 9329 | 0.9986 True +-------------------------------------------------------------------------------- +[675/3000] Train loss: 0.00043, Valid loss: 0.00050, Elapsed_time: 194.11346 +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 | 0.9982 True +9030 | 9030 | 0.9959 True +-------------------------------------------------------------------------------- +[680/3000] Train loss: 0.00043, Valid loss: 0.00047, Elapsed_time: 195.40452 +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 +-------------------------------------------------------------------------------- +4242 | 4242 | 0.9987 True +3305 | 3305 | 0.4298 True +-------------------------------------------------------------------------------- +[685/3000] Train loss: 0.00040, Valid loss: 0.00049, Elapsed_time: 196.65479 +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 +-------------------------------------------------------------------------------- +7654 | 7654 | 0.9967 True +6730 | 6730 | 0.9955 True +-------------------------------------------------------------------------------- +[690/3000] Train loss: 0.00042, Valid loss: 0.00051, Elapsed_time: 197.91819 +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 +-------------------------------------------------------------------------------- +6325 | 6325 | 0.9994 True +3279 | 3279 | 0.9830 True +-------------------------------------------------------------------------------- +[695/3000] Train loss: 0.00040, Valid loss: 0.00046, Elapsed_time: 199.16858 +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 +-------------------------------------------------------------------------------- +9332 | 9332 | 0.9971 True +2878 | 2878 | 0.9983 True +-------------------------------------------------------------------------------- +[700/3000] Train loss: 0.00039, Valid loss: 0.00044, Elapsed_time: 200.41686 +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 +-------------------------------------------------------------------------------- +4044 | 4044 | 0.6770 True +7157 | 7157 | 0.9976 True +-------------------------------------------------------------------------------- +[705/3000] Train loss: 0.00041, Valid loss: 0.00046, Elapsed_time: 201.95890 +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 +-------------------------------------------------------------------------------- +2468 | 2468 | 0.5759 True +3312 | 3312 | 0.5102 True +-------------------------------------------------------------------------------- +[710/3000] Train loss: 0.00038, Valid loss: 0.00046, Elapsed_time: 203.28079 +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 +-------------------------------------------------------------------------------- +9083 | 9083 | 0.9980 True +5187 | 5187 | 0.9981 True +-------------------------------------------------------------------------------- +[715/3000] Train loss: 0.00037, Valid loss: 0.00045, Elapsed_time: 204.55670 +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 +-------------------------------------------------------------------------------- +4432 | 4432 | 0.7467 True +9054 | 9054 | 0.9949 True +-------------------------------------------------------------------------------- +[720/3000] Train loss: 0.00034, Valid loss: 0.00044, Elapsed_time: 205.82346 +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 +-------------------------------------------------------------------------------- +8892 | 8892 | 0.9446 True +0083 | 0083 | 0.7970 True +-------------------------------------------------------------------------------- +[725/3000] Train loss: 0.00041, Valid loss: 0.00043, Elapsed_time: 207.04667 +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 +-------------------------------------------------------------------------------- +7730 | 7730 | 0.7219 True +9011 | 9011 | 0.3765 True +-------------------------------------------------------------------------------- +[730/3000] Train loss: 0.00034, Valid loss: 0.00040, Elapsed_time: 208.26489 +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 +-------------------------------------------------------------------------------- +1018 | 1018 | 0.9994 True +6747 | 6747 | 0.9991 True +-------------------------------------------------------------------------------- +[735/3000] Train loss: 0.00047, Valid loss: 0.00047, Elapsed_time: 209.52497 +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 +-------------------------------------------------------------------------------- +5863 | 5863 | 0.9985 True +2917 | 2917 | 0.9983 True +-------------------------------------------------------------------------------- +[740/3000] Train loss: 0.00036, Valid loss: 0.00044, Elapsed_time: 211.13771 +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 +-------------------------------------------------------------------------------- +5067 | 5067 | 0.9984 True +1936 | 1936 | 0.9960 True +-------------------------------------------------------------------------------- +[745/3000] Train loss: 0.00034, Valid loss: 0.00042, Elapsed_time: 212.42934 +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 +-------------------------------------------------------------------------------- +2886 | 2886 | 0.9975 True +0604 | 0604 | 0.9989 True +-------------------------------------------------------------------------------- +[750/3000] Train loss: 0.00034, Valid loss: 0.00045, Elapsed_time: 213.71161 +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 +-------------------------------------------------------------------------------- +1870 | 1870 | 0.9979 True +0083 | 0083 | 0.7296 True +-------------------------------------------------------------------------------- +[755/3000] Train loss: 0.00030, Valid loss: 0.00041, Elapsed_time: 215.00470 +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 +-------------------------------------------------------------------------------- +1870 | 1870 | 0.9979 True +9589 | 9589 | 0.9975 True +-------------------------------------------------------------------------------- +[760/3000] Train loss: 0.00033, Valid loss: 0.00038, Elapsed_time: 216.26434 +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 +-------------------------------------------------------------------------------- +9054 | 9054 | 0.9948 True +0146 | 0146 | 0.9991 True +-------------------------------------------------------------------------------- +[765/3000] Train loss: 0.00031, Valid loss: 0.00037, Elapsed_time: 217.53249 +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 +-------------------------------------------------------------------------------- +7408 | 7408 | 0.9989 True +1040 | 1040 | 0.9986 True +-------------------------------------------------------------------------------- +[770/3000] Train loss: 0.00086, Valid loss: 0.00296, Elapsed_time: 219.09703 +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 +-------------------------------------------------------------------------------- +0187 | 0187 | 0.9985 True +8194 | 8194 | 0.9989 True +-------------------------------------------------------------------------------- +[775/3000] Train loss: 0.03542, Valid loss: 0.34929, Elapsed_time: 220.43262 +Current_accuracy : 69.500, Current_norm_ED : 0.9210 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5493 | 5493 | 0.8141 True +3389 | 338 | 0.5256 False +-------------------------------------------------------------------------------- +[780/3000] Train loss: 0.33659, Valid loss: 0.15616, Elapsed_time: 221.70769 +Current_accuracy : 85.500, Current_norm_ED : 0.9642 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +1772 | 172 | 0.6639 False +2985 | 2985 | 0.9938 True +-------------------------------------------------------------------------------- +[785/3000] Train loss: 0.24042, Valid loss: 0.27765, Elapsed_time: 223.00467 +Current_accuracy : 78.500, Current_norm_ED : 0.9395 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0649 | 0649 | 0.9906 True +5977 | 577 | 0.3065 False +-------------------------------------------------------------------------------- +[790/3000] Train loss: 0.17540, Valid loss: 1.52282, Elapsed_time: 224.25719 +Current_accuracy : 44.500, Current_norm_ED : 0.8155 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7408 | 748 | 0.6151 False +9184 | 9784 | 0.8185 False +-------------------------------------------------------------------------------- +[795/3000] Train loss: 0.39492, Valid loss: 0.08809, Elapsed_time: 225.45230 +Current_accuracy : 89.000, Current_norm_ED : 0.9720 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9300 | 9300 | 0.4210 True +0083 | 0083 | 0.8923 True +-------------------------------------------------------------------------------- +[800/3000] Train loss: 0.16307, Valid loss: 0.38787, Elapsed_time: 226.99576 +Current_accuracy : 66.500, Current_norm_ED : 0.9035 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +4908 | 4908 | 0.9791 True +1772 | 1772 | 0.8859 True +-------------------------------------------------------------------------------- +[805/3000] Train loss: 0.17089, Valid loss: 0.02897, Elapsed_time: 228.26380 +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 +-------------------------------------------------------------------------------- +4695 | 4695 | 0.9787 True +0589 | 0589 | 0.8936 True +-------------------------------------------------------------------------------- +[810/3000] Train loss: 0.02383, Valid loss: 0.13670, Elapsed_time: 229.58875 +Current_accuracy : 93.000, Current_norm_ED : 0.9825 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9332 | 9332 | 0.9737 True +8811 | 811 | 0.5804 False +-------------------------------------------------------------------------------- +[815/3000] Train loss: 0.03410, Valid loss: 0.00498, Elapsed_time: 230.86523 +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 +-------------------------------------------------------------------------------- +3031 | 3031 | 0.9914 True +4974 | 4974 | 0.9535 True +-------------------------------------------------------------------------------- +[820/3000] Train loss: 0.00462, Valid loss: 0.00791, Elapsed_time: 232.13325 +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 +-------------------------------------------------------------------------------- +8170 | 8170 | 0.9809 True +7595 | 7595 | 0.9860 True +-------------------------------------------------------------------------------- +[825/3000] Train loss: 0.00346, Valid loss: 0.00249, Elapsed_time: 233.40392 +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 +-------------------------------------------------------------------------------- +8115 | 8115 | 0.9937 True +4846 | 4846 | 0.9911 True +-------------------------------------------------------------------------------- +[830/3000] Train loss: 0.00278, Valid loss: 0.00262, Elapsed_time: 234.65431 +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 +-------------------------------------------------------------------------------- +3250 | 3250 | 0.9701 True +6711 | 6711 | 0.4524 True +-------------------------------------------------------------------------------- +[835/3000] Train loss: 0.00229, Valid loss: 0.00203, Elapsed_time: 236.21604 +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 +-------------------------------------------------------------------------------- +9922 | 9922 | 0.3053 True +8030 | 8030 | 0.9878 True +-------------------------------------------------------------------------------- +[840/3000] Train loss: 0.00180, Valid loss: 0.00186, Elapsed_time: 237.47273 +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 +-------------------------------------------------------------------------------- +4383 | 4383 | 0.9926 True +0279 | 0279 | 0.9922 True +-------------------------------------------------------------------------------- +[845/3000] Train loss: 0.00193, Valid loss: 0.00168, Elapsed_time: 238.72941 +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 +-------------------------------------------------------------------------------- +0691 | 0691 | 0.9959 True +7933 | 7933 | 0.5529 True +-------------------------------------------------------------------------------- +[850/3000] Train loss: 0.00182, Valid loss: 0.00147, Elapsed_time: 240.01017 +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 +-------------------------------------------------------------------------------- +9300 | 9300 | 0.8046 True +4974 | 4974 | 0.9855 True +-------------------------------------------------------------------------------- +[855/3000] Train loss: 0.00156, Valid loss: 0.00146, Elapsed_time: 241.25793 +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 +-------------------------------------------------------------------------------- +7408 | 7408 | 0.9963 True +1849 | 1849 | 0.9949 True +-------------------------------------------------------------------------------- +[860/3000] Train loss: 0.00136, Valid loss: 0.00122, Elapsed_time: 242.55108 +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 +-------------------------------------------------------------------------------- +6591 | 6591 | 0.9963 True +5183 | 5183 | 0.9965 True +-------------------------------------------------------------------------------- +[865/3000] Train loss: 0.00158, Valid loss: 0.00122, Elapsed_time: 244.07646 +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 +-------------------------------------------------------------------------------- +6325 | 6325 | 0.9985 True +2886 | 2886 | 0.9952 True +-------------------------------------------------------------------------------- +[870/3000] Train loss: 0.00131, Valid loss: 0.00113, Elapsed_time: 245.43208 +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 +-------------------------------------------------------------------------------- +0649 | 0649 | 0.9954 True +2917 | 2917 | 0.9944 True +-------------------------------------------------------------------------------- +[875/3000] Train loss: 0.00102, Valid loss: 0.00106, Elapsed_time: 246.70238 +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 +-------------------------------------------------------------------------------- +5183 | 5183 | 0.9968 True +7475 | 7475 | 0.9969 True +-------------------------------------------------------------------------------- +[880/3000] Train loss: 0.00107, Valid loss: 0.00102, Elapsed_time: 247.94288 +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 +-------------------------------------------------------------------------------- +2853 | 2853 | 0.9966 True +7475 | 7475 | 0.9970 True +-------------------------------------------------------------------------------- +[885/3000] Train loss: 0.00109, Valid loss: 0.00099, Elapsed_time: 249.21191 +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 +-------------------------------------------------------------------------------- +1432 | 1432 | 0.9946 True +5634 | 5634 | 0.9956 True +-------------------------------------------------------------------------------- +[890/3000] Train loss: 0.00101, Valid loss: 0.00104, Elapsed_time: 250.48675 +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 +-------------------------------------------------------------------------------- +2521 | 2521 | 0.9979 True +3279 | 3279 | 0.9708 True +-------------------------------------------------------------------------------- +[895/3000] Train loss: 0.00107, Valid loss: 0.00086, Elapsed_time: 251.75309 +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 +-------------------------------------------------------------------------------- +0834 | 0834 | 0.9940 True +2605 | 2605 | 0.9970 True +-------------------------------------------------------------------------------- +[900/3000] Train loss: 0.00084, Valid loss: 0.00083, Elapsed_time: 253.31747 +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 +-------------------------------------------------------------------------------- +4908 | 4908 | 0.9974 True +9922 | 9922 | 0.3735 True +-------------------------------------------------------------------------------- +[905/3000] Train loss: 0.00074, Valid loss: 0.00081, Elapsed_time: 254.63415 +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 +-------------------------------------------------------------------------------- +1772 | 1772 | 0.9917 True +7051 | 7051 | 0.9934 True +-------------------------------------------------------------------------------- +[910/3000] Train loss: 0.00083, Valid loss: 0.00081, Elapsed_time: 255.89290 +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 +-------------------------------------------------------------------------------- +3019 | 3019 | 0.9975 True +7655 | 7655 | 0.4769 True +-------------------------------------------------------------------------------- +[915/3000] Train loss: 0.00080, Valid loss: 0.00072, Elapsed_time: 257.21096 +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 +-------------------------------------------------------------------------------- +1475 | 1475 | 0.9979 True +1636 | 1636 | 0.9930 True +-------------------------------------------------------------------------------- +[920/3000] Train loss: 0.00077, Valid loss: 0.00069, Elapsed_time: 258.48194 +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 +-------------------------------------------------------------------------------- +3908 | 3908 | 0.9987 True +3305 | 3305 | 0.5970 True +-------------------------------------------------------------------------------- +[925/3000] Train loss: 0.00075, Valid loss: 0.00068, Elapsed_time: 259.73752 +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 +-------------------------------------------------------------------------------- +3312 | 3312 | 0.5538 True +5067 | 5067 | 0.9946 True +-------------------------------------------------------------------------------- +[930/3000] Train loss: 0.00085, Valid loss: 0.00069, Elapsed_time: 261.31301 +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 +-------------------------------------------------------------------------------- +5065 | 5065 | 0.9978 True +8641 | 8641 | 0.9969 True +-------------------------------------------------------------------------------- +[935/3000] Train loss: 0.00069, Valid loss: 0.00061, Elapsed_time: 262.63264 +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 +-------------------------------------------------------------------------------- +3854 | 3854 | 0.9850 True +0035 | 0035 | 0.4945 True +-------------------------------------------------------------------------------- +[940/3000] Train loss: 0.00060, Valid loss: 0.00061, Elapsed_time: 263.90000 +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 +-------------------------------------------------------------------------------- +1849 | 1849 | 0.9972 True +1195 | 1195 | 0.6437 True +-------------------------------------------------------------------------------- +[945/3000] Train loss: 0.00060, Valid loss: 0.00058, Elapsed_time: 265.19318 +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 +-------------------------------------------------------------------------------- +9754 | 9754 | 0.9807 True +7157 | 7157 | 0.9950 True +-------------------------------------------------------------------------------- +[950/3000] Train loss: 0.00056, Valid loss: 0.00057, Elapsed_time: 266.44525 +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 +-------------------------------------------------------------------------------- +0998 | 0998 | 0.9937 True +1195 | 1195 | 0.6903 True +-------------------------------------------------------------------------------- +[955/3000] Train loss: 0.00056, Valid loss: 0.00058, Elapsed_time: 267.73872 +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 +-------------------------------------------------------------------------------- +7475 | 7475 | 0.9981 True +5334 | 5334 | 0.9964 True +-------------------------------------------------------------------------------- +[960/3000] Train loss: 0.00059, Valid loss: 0.00053, Elapsed_time: 269.26796 +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 +-------------------------------------------------------------------------------- +8811 | 8811 | 0.2926 True +9083 | 9083 | 0.9975 True +-------------------------------------------------------------------------------- +[965/3000] Train loss: 0.00049, Valid loss: 0.00050, Elapsed_time: 270.56750 +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 +-------------------------------------------------------------------------------- +5065 | 5065 | 0.9980 True +5708 | 5708 | 0.9988 True +-------------------------------------------------------------------------------- +[970/3000] Train loss: 0.00054, Valid loss: 0.00049, Elapsed_time: 271.87712 +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 +-------------------------------------------------------------------------------- +4695 | 4695 | 0.9976 True +9083 | 9083 | 0.9976 True +-------------------------------------------------------------------------------- +[975/3000] Train loss: 0.00052, Valid loss: 0.00051, Elapsed_time: 273.11399 +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 +-------------------------------------------------------------------------------- +1040 | 1040 | 0.9955 True +9922 | 9922 | 0.4155 True +-------------------------------------------------------------------------------- +[980/3000] Train loss: 0.00043, Valid loss: 0.00048, Elapsed_time: 274.40032 +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 +-------------------------------------------------------------------------------- +1839 | 1839 | 0.9983 True +5504 | 5504 | 0.9213 True +-------------------------------------------------------------------------------- +[985/3000] Train loss: 0.00055, Valid loss: 0.00051, Elapsed_time: 275.66222 +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 +-------------------------------------------------------------------------------- +3148 | 3148 | 0.9989 True +0839 | 0839 | 0.9979 True +-------------------------------------------------------------------------------- +[990/3000] Train loss: 0.00069, Valid loss: 0.00964, Elapsed_time: 276.90197 +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 +-------------------------------------------------------------------------------- +3312 | 3312 | 0.6661 True +8939 | 8939 | 0.9972 True +-------------------------------------------------------------------------------- +[995/3000] Train loss: 0.00079, Valid loss: 0.00048, Elapsed_time: 278.44874 +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 +-------------------------------------------------------------------------------- +4974 | 4974 | 0.9955 True +1195 | 1195 | 0.7485 True +-------------------------------------------------------------------------------- +[1000/3000] Train loss: 0.00044, Valid loss: 0.00045, Elapsed_time: 279.73270 +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 +-------------------------------------------------------------------------------- +9490 | 9490 | 0.9973 True +6972 | 6972 | 0.9973 True +-------------------------------------------------------------------------------- +[1005/3000] Train loss: 0.00039, Valid loss: 0.00045, Elapsed_time: 281.01321 +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 +-------------------------------------------------------------------------------- +8067 | 8067 | 0.9959 True +1516 | 1516 | 0.9965 True +-------------------------------------------------------------------------------- +[1010/3000] Train loss: 0.00043, Valid loss: 0.00040, Elapsed_time: 282.29055 +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 +-------------------------------------------------------------------------------- +5012 | 5012 | 0.9986 True +0834 | 0834 | 0.9975 True +-------------------------------------------------------------------------------- +[1015/3000] Train loss: 0.00038, Valid loss: 0.00040, Elapsed_time: 283.55863 +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 +-------------------------------------------------------------------------------- +9589 | 9589 | 0.9979 True +0146 | 0146 | 0.9990 True +-------------------------------------------------------------------------------- +[1020/3000] Train loss: 0.00038, Valid loss: 0.00039, Elapsed_time: 284.80772 +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 +-------------------------------------------------------------------------------- +1667 | 1667 | 0.9983 True +9797 | 9797 | 0.9986 True +-------------------------------------------------------------------------------- +[1025/3000] Train loss: 0.00042, Valid loss: 0.00036, Elapsed_time: 286.36590 +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 +-------------------------------------------------------------------------------- +8892 | 8892 | 0.2964 True +5634 | 5634 | 0.9982 True +-------------------------------------------------------------------------------- +[1030/3000] Train loss: 0.00036, Valid loss: 0.00036, Elapsed_time: 287.71874 +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 +-------------------------------------------------------------------------------- +4048 | 4048 | 0.9993 True +7654 | 7654 | 0.9940 True +-------------------------------------------------------------------------------- +[1035/3000] Train loss: 0.00038, Valid loss: 0.00035, Elapsed_time: 288.98869 +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 +-------------------------------------------------------------------------------- +9436 | 9436 | 0.9978 True +0691 | 0691 | 0.9988 True +-------------------------------------------------------------------------------- +[1040/3000] Train loss: 0.00035, Valid loss: 0.00035, Elapsed_time: 290.28919 +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 +-------------------------------------------------------------------------------- +5013 | 5013 | 0.9984 True +9436 | 9436 | 0.9979 True +-------------------------------------------------------------------------------- +[1045/3000] Train loss: 0.00036, Valid loss: 0.00034, Elapsed_time: 291.56400 +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 +-------------------------------------------------------------------------------- +4383 | 4383 | 0.9984 True +8067 | 8067 | 0.9967 True +-------------------------------------------------------------------------------- +[1050/3000] Train loss: 0.00032, Valid loss: 0.00033, Elapsed_time: 292.83438 +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 +-------------------------------------------------------------------------------- +1667 | 1667 | 0.9984 True +1475 | 1475 | 0.9989 True +-------------------------------------------------------------------------------- +[1055/3000] Train loss: 0.00036, Valid loss: 0.00032, Elapsed_time: 294.08974 +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 +-------------------------------------------------------------------------------- +6747 | 6747 | 0.9988 True +7893 | 7893 | 0.9988 True +-------------------------------------------------------------------------------- +[1060/3000] Train loss: 0.00031, Valid loss: 0.00032, Elapsed_time: 295.69606 +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 +-------------------------------------------------------------------------------- +8194 | 8194 | 0.9991 True +4695 | 4695 | 0.9985 True +-------------------------------------------------------------------------------- +[1065/3000] Train loss: 0.00030, Valid loss: 0.00032, Elapsed_time: 296.98663 +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 +-------------------------------------------------------------------------------- +3019 | 3019 | 0.9989 True +8067 | 8067 | 0.9965 True +-------------------------------------------------------------------------------- +[1070/3000] Train loss: 0.00029, Valid loss: 0.00032, Elapsed_time: 298.26479 +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 +-------------------------------------------------------------------------------- +1155 | 1155 | 0.5906 True +5183 | 5183 | 0.9986 True +-------------------------------------------------------------------------------- +[1075/3000] Train loss: 0.00029, Valid loss: 0.00029, Elapsed_time: 299.53142 +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 +-------------------------------------------------------------------------------- +0311 | 0311 | 0.8853 True +2016 | 2016 | 0.9984 True +-------------------------------------------------------------------------------- +[1080/3000] Train loss: 0.00029, Valid loss: 0.00029, Elapsed_time: 300.79827 +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 +-------------------------------------------------------------------------------- +0132 | 0132 | 0.9984 True +4361 | 4361 | 0.9980 True +-------------------------------------------------------------------------------- +[1085/3000] Train loss: 0.00029, Valid loss: 0.00030, Elapsed_time: 302.07897 +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 +-------------------------------------------------------------------------------- +9300 | 9300 | 0.6752 True +7747 | 7747 | 0.8823 True +-------------------------------------------------------------------------------- +[1090/3000] Train loss: 0.00038, Valid loss: 0.00029, Elapsed_time: 303.64330 +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 +-------------------------------------------------------------------------------- +2117 | 2117 | 0.9986 True +7747 | 7747 | 0.9047 True +-------------------------------------------------------------------------------- +[1095/3000] Train loss: 0.00028, Valid loss: 0.00030, Elapsed_time: 305.00918 +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 +-------------------------------------------------------------------------------- +0834 | 0834 | 0.9981 True +7993 | 7993 | 0.9994 True +-------------------------------------------------------------------------------- +[1100/3000] Train loss: 0.00024, Valid loss: 0.00028, Elapsed_time: 306.26691 +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 +-------------------------------------------------------------------------------- +1475 | 1475 | 0.9991 True +7730 | 7730 | 0.9083 True +-------------------------------------------------------------------------------- +[1105/3000] Train loss: 0.00030, Valid loss: 0.00027, Elapsed_time: 307.62809 +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 +-------------------------------------------------------------------------------- +6972 | 6972 | 0.9982 True +3326 | 3326 | 0.4909 True +-------------------------------------------------------------------------------- +[1110/3000] Train loss: 0.00025, Valid loss: 0.00028, Elapsed_time: 309.00263 +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 +-------------------------------------------------------------------------------- +5912 | 5912 | 0.9973 True +8811 | 8811 | 0.3548 True +-------------------------------------------------------------------------------- +[1115/3000] Train loss: 0.00026, Valid loss: 0.00027, Elapsed_time: 310.35203 +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 +-------------------------------------------------------------------------------- +4044 | 4044 | 0.7247 True +5493 | 5493 | 0.9993 True +-------------------------------------------------------------------------------- +[1120/3000] Train loss: 0.00031, Valid loss: 0.00028, Elapsed_time: 311.93392 +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 +-------------------------------------------------------------------------------- +0083 | 0083 | 0.5313 True +3019 | 3019 | 0.9991 True +-------------------------------------------------------------------------------- +[1125/3000] Train loss: 0.00025, Valid loss: 0.00025, Elapsed_time: 313.24136 +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 +-------------------------------------------------------------------------------- +7893 | 7893 | 0.9990 True +5493 | 5493 | 0.9994 True +-------------------------------------------------------------------------------- +[1130/3000] Train loss: 0.00026, Valid loss: 0.00025, Elapsed_time: 314.55473 +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 +-------------------------------------------------------------------------------- +7747 | 7747 | 0.8920 True +5053 | 5053 | 0.9985 True +-------------------------------------------------------------------------------- +[1135/3000] Train loss: 0.00024, Valid loss: 0.00025, Elapsed_time: 315.87608 +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 +-------------------------------------------------------------------------------- +5827 | 5827 | 0.9980 True +5504 | 5504 | 0.9487 True +-------------------------------------------------------------------------------- +[1140/3000] Train loss: 0.00023, Valid loss: 0.00025, Elapsed_time: 317.20768 +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 +-------------------------------------------------------------------------------- +2262 | 2262 | 0.5021 True +6730 | 6730 | 0.9979 True +-------------------------------------------------------------------------------- +[1145/3000] Train loss: 0.00023, Valid loss: 0.00024, Elapsed_time: 318.46225 +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 +-------------------------------------------------------------------------------- +2886 | 2886 | 0.9989 True +6711 | 6711 | 0.8744 True +-------------------------------------------------------------------------------- +[1150/3000] Train loss: 0.00022, Valid loss: 0.00024, Elapsed_time: 319.77111 +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 +-------------------------------------------------------------------------------- +4044 | 4044 | 0.7178 True +4379 | 4379 | 0.9986 True +-------------------------------------------------------------------------------- +[1155/3000] Train loss: 0.00027, Valid loss: 0.00023, Elapsed_time: 321.39517 +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 +-------------------------------------------------------------------------------- +6026 | 6026 | 0.9993 True +0998 | 0998 | 0.9969 True +-------------------------------------------------------------------------------- +[1160/3000] Train loss: 0.00022, Valid loss: 0.00023, Elapsed_time: 322.72301 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9990 True +8892 | 8892 | 0.3017 True +-------------------------------------------------------------------------------- +[1165/3000] Train loss: 0.00022, Valid loss: 0.00022, Elapsed_time: 324.08616 +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 +-------------------------------------------------------------------------------- +9089 | 9089 | 0.9988 True +6711 | 6711 | 0.8486 True +-------------------------------------------------------------------------------- +[1170/3000] Train loss: 0.00021, Valid loss: 0.00023, Elapsed_time: 325.41590 +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 +-------------------------------------------------------------------------------- +9740 | 9740 | 0.9970 True +5720 | 5720 | 0.9980 True +-------------------------------------------------------------------------------- +[1175/3000] Train loss: 0.00035, Valid loss: 0.00024, Elapsed_time: 326.70943 +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 +-------------------------------------------------------------------------------- +9054 | 9054 | 0.9947 True +5827 | 5827 | 0.9981 True +-------------------------------------------------------------------------------- +[1180/3000] Train loss: 0.00021, Valid loss: 0.00022, Elapsed_time: 327.95474 +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 +-------------------------------------------------------------------------------- +6078 | 6078 | 0.9994 True +3312 | 3312 | 0.4925 True +-------------------------------------------------------------------------------- +[1185/3000] Train loss: 0.00028, Valid loss: 0.00022, Elapsed_time: 329.61831 +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 +-------------------------------------------------------------------------------- +0311 | 0311 | 0.8872 True +8839 | 8839 | 0.4261 True +-------------------------------------------------------------------------------- +[1190/3000] Train loss: 0.00019, Valid loss: 0.00022, Elapsed_time: 330.94229 +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 +-------------------------------------------------------------------------------- +5493 | 5493 | 0.9995 True +9332 | 9332 | 0.9987 True +-------------------------------------------------------------------------------- +[1195/3000] Train loss: 0.00030, Valid loss: 0.00023, Elapsed_time: 332.26639 +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 +-------------------------------------------------------------------------------- +9970 | 9970 | 0.5943 True +8858 | 8858 | 0.6360 True +-------------------------------------------------------------------------------- +[1200/3000] Train loss: 0.00025, Valid loss: 0.00024, Elapsed_time: 333.56403 +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 +-------------------------------------------------------------------------------- +3312 | 3312 | 0.5679 True +4450 | 4450 | 0.7568 True +-------------------------------------------------------------------------------- +[1205/3000] Train loss: 0.00020, Valid loss: 0.00022, Elapsed_time: 334.86218 +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 +-------------------------------------------------------------------------------- +9083 | 9083 | 0.9986 True +3308 | 3308 | 0.5970 True +-------------------------------------------------------------------------------- +[1210/3000] Train loss: 0.00024, Valid loss: 0.00021, Elapsed_time: 336.12682 +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 +-------------------------------------------------------------------------------- +9332 | 9332 | 0.9986 True +4242 | 4242 | 0.9992 True +-------------------------------------------------------------------------------- +[1215/3000] Train loss: 0.00023, Valid loss: 0.00021, Elapsed_time: 337.40897 +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 +-------------------------------------------------------------------------------- +6373 | 6373 | 0.9994 True +1772 | 1772 | 0.9978 True +-------------------------------------------------------------------------------- +[1220/3000] Train loss: 0.00020, Valid loss: 0.00021, Elapsed_time: 339.02793 +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 +-------------------------------------------------------------------------------- +6060 | 6060 | 0.9988 True +5012 | 5012 | 0.9993 True +-------------------------------------------------------------------------------- +[1225/3000] Train loss: 0.00020, Valid loss: 0.00020, Elapsed_time: 340.36276 +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 +-------------------------------------------------------------------------------- +8939 | 8939 | 0.9989 True +5634 | 5634 | 0.9986 True +-------------------------------------------------------------------------------- +[1230/3000] Train loss: 0.00023, Valid loss: 0.00021, Elapsed_time: 341.69306 +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 +-------------------------------------------------------------------------------- +3279 | 3279 | 0.9950 True +6591 | 6591 | 0.9993 True +-------------------------------------------------------------------------------- +[1235/3000] Train loss: 0.00018, Valid loss: 0.00020, Elapsed_time: 343.04640 +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 +-------------------------------------------------------------------------------- +9725 | 9725 | 0.9998 True +1082 | 1082 | 0.9995 True +-------------------------------------------------------------------------------- +[1240/3000] Train loss: 0.00020, Valid loss: 0.00019, Elapsed_time: 344.31773 +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 +-------------------------------------------------------------------------------- +1616 | 1616 | 0.9982 True +6078 | 6078 | 0.9995 True +-------------------------------------------------------------------------------- +[1245/3000] Train loss: 0.00018, Valid loss: 0.00018, Elapsed_time: 345.59325 +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 +-------------------------------------------------------------------------------- +1018 | 1018 | 0.9996 True +9490 | 9490 | 0.9984 True +-------------------------------------------------------------------------------- +[1250/3000] Train loss: 0.00019, Valid loss: 0.00018, Elapsed_time: 347.23324 +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 +-------------------------------------------------------------------------------- +1018 | 1018 | 0.9996 True +6373 | 6373 | 0.9994 True +-------------------------------------------------------------------------------- +[1255/3000] Train loss: 0.00019, Valid loss: 0.00019, Elapsed_time: 348.59044 +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 +-------------------------------------------------------------------------------- +2117 | 2117 | 0.9991 True +7744 | 7744 | 0.4780 True +-------------------------------------------------------------------------------- +[1260/3000] Train loss: 0.00021, Valid loss: 0.00019, Elapsed_time: 349.86211 +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 +-------------------------------------------------------------------------------- +8858 | 8858 | 0.6175 True +4242 | 4242 | 0.9992 True +-------------------------------------------------------------------------------- +[1265/3000] Train loss: 0.00016, Valid loss: 0.00019, Elapsed_time: 351.17038 +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 +-------------------------------------------------------------------------------- +1195 | 1195 | 0.7338 True +1667 | 1667 | 0.9990 True +-------------------------------------------------------------------------------- +[1270/3000] Train loss: 0.00019, Valid loss: 0.00020, Elapsed_time: 352.44277 +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 +-------------------------------------------------------------------------------- +4313 | 4313 | 0.9992 True +8115 | 8115 | 0.9996 True +-------------------------------------------------------------------------------- +[1275/3000] Train loss: 0.00092, Valid loss: 0.00351, Elapsed_time: 353.71141 +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 +-------------------------------------------------------------------------------- +8902 | 8902 | 0.9986 True +2878 | 2878 | 0.9994 True +-------------------------------------------------------------------------------- +[1280/3000] Train loss: 0.02570, Valid loss: 0.15667, Elapsed_time: 355.30657 +Current_accuracy : 87.000, Current_norm_ED : 0.9642 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9970 | 9970 | 0.4992 True +6462 | 6442 | 0.5672 False +-------------------------------------------------------------------------------- +[1285/3000] Train loss: 0.06346, Valid loss: 0.16277, Elapsed_time: 356.62886 +Current_accuracy : 86.000, Current_norm_ED : 0.9653 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3854 | 3854 | 0.9208 True +4450 | 4450 | 0.4257 True +-------------------------------------------------------------------------------- +[1290/3000] Train loss: 0.00263, Valid loss: 0.00094, Elapsed_time: 357.89078 +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 +-------------------------------------------------------------------------------- +0589 | 0589 | 0.9970 True +0691 | 0691 | 0.9988 True +-------------------------------------------------------------------------------- +[1295/3000] Train loss: 0.00204, Valid loss: 0.00113, Elapsed_time: 359.15498 +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 +-------------------------------------------------------------------------------- +2140 | 2140 | 0.9934 True +6060 | 6060 | 0.9978 True +-------------------------------------------------------------------------------- +[1300/3000] Train loss: 0.00164, Valid loss: 0.00071, Elapsed_time: 360.44287 +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 +-------------------------------------------------------------------------------- +2492 | 2492 | 0.9989 True +9922 | 9922 | 0.7322 True +-------------------------------------------------------------------------------- +[1305/3000] Train loss: 0.00080, Valid loss: 0.00058, Elapsed_time: 361.69105 +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 +-------------------------------------------------------------------------------- +0311 | 0311 | 0.7645 True +3312 | 3312 | 0.5572 True +-------------------------------------------------------------------------------- +[1310/3000] Train loss: 0.00080, Valid loss: 0.00060, Elapsed_time: 362.96309 +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 +-------------------------------------------------------------------------------- +2917 | 2917 | 0.9989 True +8641 | 8641 | 0.9977 True +-------------------------------------------------------------------------------- +[1315/3000] Train loss: 0.00059, Valid loss: 0.00041, Elapsed_time: 364.57491 +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 +-------------------------------------------------------------------------------- +0261 | 0261 | 0.9990 True +8892 | 8892 | 0.5209 True +-------------------------------------------------------------------------------- +[1320/3000] Train loss: 0.00077, Valid loss: 0.00046, Elapsed_time: 365.86983 +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 +-------------------------------------------------------------------------------- +9922 | 9922 | 0.6735 True +4450 | 4450 | 0.6216 True +-------------------------------------------------------------------------------- +[1325/3000] Train loss: 0.00039, Valid loss: 0.00042, Elapsed_time: 367.15468 +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 +-------------------------------------------------------------------------------- +3305 | 3305 | 0.7674 True +3982 | 3982 | 0.9994 True +-------------------------------------------------------------------------------- +[1330/3000] Train loss: 0.00038, Valid loss: 0.00037, Elapsed_time: 368.43778 +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 +-------------------------------------------------------------------------------- +4318 | 4318 | 0.9991 True +4786 | 4786 | 0.9980 True +-------------------------------------------------------------------------------- +[1335/3000] Train loss: 0.00037, Valid loss: 0.00034, Elapsed_time: 369.69168 +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 +-------------------------------------------------------------------------------- +2078 | 2078 | 0.9996 True +9740 | 9740 | 0.9851 True +-------------------------------------------------------------------------------- +[1340/3000] Train loss: 0.00036, Valid loss: 0.00032, Elapsed_time: 370.93532 +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 +-------------------------------------------------------------------------------- +9089 | 9089 | 0.9987 True +8051 | 8051 | 0.9977 True +-------------------------------------------------------------------------------- +[1345/3000] Train loss: 0.00033, Valid loss: 0.00034, Elapsed_time: 372.51666 +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 +-------------------------------------------------------------------------------- +0146 | 0146 | 0.9950 True +6248 | 6248 | 0.9986 True +-------------------------------------------------------------------------------- +[1350/3000] Train loss: 0.00034, Valid loss: 0.00031, Elapsed_time: 373.79226 +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 +-------------------------------------------------------------------------------- +5012 | 5012 | 0.9992 True +9807 | 9807 | 0.9985 True +-------------------------------------------------------------------------------- +[1355/3000] Train loss: 0.00026, Valid loss: 0.00029, Elapsed_time: 375.09239 +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 +-------------------------------------------------------------------------------- +1772 | 1772 | 0.9978 True +2140 | 2140 | 0.9871 True +-------------------------------------------------------------------------------- +[1360/3000] Train loss: 0.00027, Valid loss: 0.00029, Elapsed_time: 376.39026 +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 +-------------------------------------------------------------------------------- +4295 | 4295 | 0.9994 True +9154 | 9154 | 0.9963 True +-------------------------------------------------------------------------------- +[1365/3000] Train loss: 0.00026, Valid loss: 0.00027, Elapsed_time: 377.66754 +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 +-------------------------------------------------------------------------------- +5634 | 5634 | 0.9987 True +9797 | 9797 | 0.9992 True +-------------------------------------------------------------------------------- +[1370/3000] Train loss: 0.00028, Valid loss: 0.00026, Elapsed_time: 378.92760 +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 +-------------------------------------------------------------------------------- +7747 | 7747 | 0.8360 True +6078 | 6078 | 0.9996 True +-------------------------------------------------------------------------------- +[1375/3000] Train loss: 0.00024, Valid loss: 0.00026, Elapsed_time: 380.23214 +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 +-------------------------------------------------------------------------------- +1936 | 1936 | 0.9987 True +3982 | 3982 | 0.9996 True +-------------------------------------------------------------------------------- +[1380/3000] Train loss: 0.00025, Valid loss: 0.00026, Elapsed_time: 381.80382 +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 +-------------------------------------------------------------------------------- +3305 | 3305 | 0.5889 True +4677 | 4677 | 0.9006 True +-------------------------------------------------------------------------------- +[1385/3000] Train loss: 0.00023, Valid loss: 0.00026, Elapsed_time: 383.06402 +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 +-------------------------------------------------------------------------------- +3305 | 3305 | 0.5817 True +9545 | 9545 | 0.9992 True +-------------------------------------------------------------------------------- +[1390/3000] Train loss: 0.00025, Valid loss: 0.00023, Elapsed_time: 384.33385 +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 +-------------------------------------------------------------------------------- +2117 | 2117 | 0.9994 True +4974 | 4974 | 0.9981 True +-------------------------------------------------------------------------------- +[1395/3000] Train loss: 0.00023, Valid loss: 0.00024, Elapsed_time: 385.66400 +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 +-------------------------------------------------------------------------------- +8005 | 8005 | 0.9990 True +6805 | 6805 | 0.9987 True +-------------------------------------------------------------------------------- +[1400/3000] Train loss: 0.00023, Valid loss: 0.00023, Elapsed_time: 386.93874 +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 +-------------------------------------------------------------------------------- +0998 | 0998 | 0.9974 True +0035 | 0035 | 0.8543 True +-------------------------------------------------------------------------------- +[1405/3000] Train loss: 0.00020, Valid loss: 0.00022, Elapsed_time: 388.17086 +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 +-------------------------------------------------------------------------------- +2867 | 2867 | 0.9988 True +1155 | 1155 | 0.6321 True +-------------------------------------------------------------------------------- +[1410/3000] Train loss: 0.00023, Valid loss: 0.00022, Elapsed_time: 389.76018 +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 +-------------------------------------------------------------------------------- +9589 | 9589 | 0.9987 True +6711 | 6711 | 0.7887 True +-------------------------------------------------------------------------------- +[1415/3000] Train loss: 0.00021, Valid loss: 0.00023, Elapsed_time: 391.07031 +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 +-------------------------------------------------------------------------------- +5218 | 5218 | 0.9997 True +9589 | 9589 | 0.9987 True +-------------------------------------------------------------------------------- +[1420/3000] Train loss: 0.00019, Valid loss: 0.00020, Elapsed_time: 392.37834 +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 +-------------------------------------------------------------------------------- +7022 | 7022 | 0.5570 True +4977 | 4977 | 0.6357 True +-------------------------------------------------------------------------------- +[1425/3000] Train loss: 0.00020, Valid loss: 0.00019, Elapsed_time: 393.63238 +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 +-------------------------------------------------------------------------------- +6275 | 6275 | 0.9995 True +2886 | 2886 | 0.9985 True +-------------------------------------------------------------------------------- +[1430/3000] Train loss: 0.00018, Valid loss: 0.00019, Elapsed_time: 394.98353 +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 +-------------------------------------------------------------------------------- +0691 | 0691 | 0.9995 True +9922 | 9922 | 0.6435 True +-------------------------------------------------------------------------------- +[1435/3000] Train loss: 0.00017, Valid loss: 0.00020, Elapsed_time: 396.25069 +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 +-------------------------------------------------------------------------------- +3305 | 3305 | 0.5098 True +8115 | 8115 | 0.9997 True +-------------------------------------------------------------------------------- +[1440/3000] Train loss: 0.00019, Valid loss: 0.00019, Elapsed_time: 397.81788 +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 +-------------------------------------------------------------------------------- +2262 | 2262 | 0.7807 True +8902 | 8902 | 0.9989 True +-------------------------------------------------------------------------------- +[1445/3000] Train loss: 0.00016, Valid loss: 0.00018, Elapsed_time: 399.14382 +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 +-------------------------------------------------------------------------------- +9011 | 9011 | 0.9075 True +9300 | 9300 | 0.8120 True +-------------------------------------------------------------------------------- +[1450/3000] Train loss: 0.00016, Valid loss: 0.00021, Elapsed_time: 400.45541 +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 +-------------------------------------------------------------------------------- +8902 | 8902 | 0.9990 True +4695 | 4695 | 0.9991 True +-------------------------------------------------------------------------------- +[1455/3000] Train loss: 0.00017, Valid loss: 0.00018, Elapsed_time: 401.75089 +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 +-------------------------------------------------------------------------------- +8170 | 8170 | 0.9984 True +6972 | 6972 | 0.9991 True +-------------------------------------------------------------------------------- +[1460/3000] Train loss: 0.00016, Valid loss: 0.00017, Elapsed_time: 403.05722 +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 +-------------------------------------------------------------------------------- +5493 | 5493 | 0.9996 True +1018 | 1018 | 0.9996 True +-------------------------------------------------------------------------------- +[1465/3000] Train loss: 0.00018, Valid loss: 0.00016, Elapsed_time: 404.30006 +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 +-------------------------------------------------------------------------------- +8115 | 8115 | 0.9997 True +2853 | 2853 | 0.9992 True +-------------------------------------------------------------------------------- +[1470/3000] Train loss: 0.00016, Valid loss: 0.00017, Elapsed_time: 405.58092 +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 +-------------------------------------------------------------------------------- +4841 | 4841 | 0.9992 True +4374 | 4374 | 0.9986 True +-------------------------------------------------------------------------------- +[1475/3000] Train loss: 0.01525, Valid loss: 0.00612, Elapsed_time: 407.18503 +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 +-------------------------------------------------------------------------------- +6730 | 6730 | 0.9983 True +4908 | 4908 | 0.9991 True +-------------------------------------------------------------------------------- +[1480/3000] Train loss: 0.00028, Valid loss: 0.00154, Elapsed_time: 408.48048 +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 +-------------------------------------------------------------------------------- +3982 | 3982 | 0.9996 True +7595 | 7595 | 0.9994 True +-------------------------------------------------------------------------------- +[1485/3000] Train loss: 0.00034, Valid loss: 0.00027, Elapsed_time: 409.74933 +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 +-------------------------------------------------------------------------------- +3326 | 3326 | 0.6098 True +1772 | 1772 | 0.9961 True +-------------------------------------------------------------------------------- +[1490/3000] Train loss: 0.00025, Valid loss: 0.00023, Elapsed_time: 411.14618 +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 +-------------------------------------------------------------------------------- +9589 | 9589 | 0.9991 True +3074 | 3074 | 0.9981 True +-------------------------------------------------------------------------------- +[1495/3000] Train loss: 0.00020, Valid loss: 0.00021, Elapsed_time: 412.39640 +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 +-------------------------------------------------------------------------------- +3312 | 3312 | 0.6543 True +9490 | 9490 | 0.9982 True +-------------------------------------------------------------------------------- +[1500/3000] Train loss: 0.00161, Valid loss: 0.00294, Elapsed_time: 413.67293 +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 +-------------------------------------------------------------------------------- +2262 | 2262 | 0.6180 True +0589 | 0589 | 0.9991 True +-------------------------------------------------------------------------------- +[1505/3000] Train loss: 0.07050, Valid loss: 0.10608, Elapsed_time: 415.26120 +Current_accuracy : 89.500, Current_norm_ED : 0.9740 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3148 | 3148 | 0.9706 True +5464 | 5464 | 0.9775 True +-------------------------------------------------------------------------------- +[1510/3000] Train loss: 0.04268, Valid loss: 0.28370, Elapsed_time: 416.58109 +Current_accuracy : 76.000, Current_norm_ED : 0.9226 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +9005 | 9005 | 0.9904 True +2345 | 23448 | 0.0982 False +-------------------------------------------------------------------------------- +[1515/3000] Train loss: 0.07329, Valid loss: 0.03508, Elapsed_time: 417.83856 +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 +-------------------------------------------------------------------------------- +0834 | 0834 | 0.9898 True +0604 | 0604 | 0.9969 True +-------------------------------------------------------------------------------- +[1520/3000] Train loss: 0.06510, Valid loss: 0.06904, Elapsed_time: 419.10670 +Current_accuracy : 93.000, Current_norm_ED : 0.9830 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +8858 | 8858 | 0.4719 True +5904 | 5904 | 0.9773 True +-------------------------------------------------------------------------------- +[1525/3000] Train loss: 0.07999, Valid loss: 0.20143, Elapsed_time: 420.40339 +Current_accuracy : 85.000, Current_norm_ED : 0.9628 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5720 | 5720 | 0.9944 True +6026 | 626 | 0.5772 False +-------------------------------------------------------------------------------- +[1530/3000] Train loss: 0.03966, Valid loss: 0.05368, Elapsed_time: 421.65375 +Current_accuracy : 96.000, Current_norm_ED : 0.9918 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2521 | 2521 | 0.9182 True +3563 | 3563 | 0.9914 True +-------------------------------------------------------------------------------- +[1535/3000] Train loss: 0.25903, Valid loss: 0.07329, Elapsed_time: 422.90008 +Current_accuracy : 91.000, Current_norm_ED : 0.9768 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7655 | 765 | 0.5373 False +9030 | 9030 | 0.9934 True +-------------------------------------------------------------------------------- +[1540/3000] Train loss: 0.04399, Valid loss: 0.07062, Elapsed_time: 424.45755 +Current_accuracy : 92.000, Current_norm_ED : 0.9788 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +7730 | 730 | 0.3953 False +4379 | 4379 | 0.9935 True +-------------------------------------------------------------------------------- +[1545/3000] Train loss: 0.08977, Valid loss: 0.14163, Elapsed_time: 425.74972 +Current_accuracy : 86.000, Current_norm_ED : 0.9637 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6248 | 6248 | 0.7531 True +5065 | 5065 | 0.8016 True +-------------------------------------------------------------------------------- +[1550/3000] Train loss: 0.09480, Valid loss: 0.33492, Elapsed_time: 427.04850 +Current_accuracy : 76.000, Current_norm_ED : 0.9375 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5053 | 5053 | 0.9592 True +7408 | 7406 | 0.9061 False +-------------------------------------------------------------------------------- +[1555/3000] Train loss: 0.01342, Valid loss: 0.02726, Elapsed_time: 428.36906 +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 +-------------------------------------------------------------------------------- +7730 | 7730 | 0.4683 True +5013 | 5013 | 0.9803 True +-------------------------------------------------------------------------------- +[1560/3000] Train loss: 0.02455, Valid loss: 0.22287, Elapsed_time: 429.65114 +Current_accuracy : 82.500, Current_norm_ED : 0.9580 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +2867 | 2867 | 0.9375 True +8476 | 8476 | 0.9806 True +-------------------------------------------------------------------------------- +[1565/3000] Train loss: 0.08267, Valid loss: 0.03529, Elapsed_time: 430.90072 +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 +-------------------------------------------------------------------------------- +4383 | 4383 | 0.9913 True +7435 | 7435 | 0.9952 True +-------------------------------------------------------------------------------- +[1570/3000] Train loss: 0.10940, Valid loss: 0.05318, Elapsed_time: 432.52179 +Current_accuracy : 93.000, Current_norm_ED : 0.9822 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +6323 | 6323 | 0.9844 True +3982 | 3982 | 0.9904 True +-------------------------------------------------------------------------------- +[1575/3000] Train loss: 0.04342, Valid loss: 0.04442, Elapsed_time: 433.80898 +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 +-------------------------------------------------------------------------------- +5078 | 5078 | 0.9979 True +2345 | 2345 | 0.9914 True +-------------------------------------------------------------------------------- +[1580/3000] Train loss: 0.02058, Valid loss: 0.03715, Elapsed_time: 435.06383 +Current_accuracy : 96.500, Current_norm_ED : 0.9915 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3908 | 3908 | 0.9961 True +4695 | 4695 | 0.9790 True +-------------------------------------------------------------------------------- +[1585/3000] Train loss: 0.01703, Valid loss: 0.00339, Elapsed_time: 436.37068 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9942 True +3908 | 3908 | 0.9964 True +-------------------------------------------------------------------------------- +[1590/3000] Train loss: 0.00282, Valid loss: 0.00228, Elapsed_time: 437.63808 +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 +-------------------------------------------------------------------------------- +9329 | 9329 | 0.9973 True +8858 | 8858 | 0.5554 True +-------------------------------------------------------------------------------- +[1595/3000] Train loss: 0.00483, Valid loss: 0.00276, Elapsed_time: 438.91378 +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 +-------------------------------------------------------------------------------- +8030 | 8030 | 0.9177 True +5827 | 5827 | 0.9961 True +-------------------------------------------------------------------------------- +[1600/3000] Train loss: 0.00294, Valid loss: 0.00156, Elapsed_time: 440.46275 +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 +-------------------------------------------------------------------------------- +3191 | 3191 | 0.9988 True +5912 | 5912 | 0.9955 True +-------------------------------------------------------------------------------- +[1605/3000] Train loss: 0.00181, Valid loss: 0.00136, Elapsed_time: 441.76868 +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 +-------------------------------------------------------------------------------- +8641 | 8641 | 0.4951 True +2016 | 2016 | 0.9961 True +-------------------------------------------------------------------------------- +[1610/3000] Train loss: 0.00146, Valid loss: 0.00128, Elapsed_time: 443.06322 +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 +-------------------------------------------------------------------------------- +2985 | 2985 | 0.9979 True +5334 | 5334 | 0.9952 True +-------------------------------------------------------------------------------- +[1615/3000] Train loss: 0.00142, Valid loss: 0.00120, Elapsed_time: 444.33502 +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 +-------------------------------------------------------------------------------- +1195 | 1195 | 0.7875 True +4318 | 4318 | 0.9980 True +-------------------------------------------------------------------------------- +[1620/3000] Train loss: 0.00456, Valid loss: 0.00864, Elapsed_time: 445.61401 +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 +-------------------------------------------------------------------------------- +4846 | 4846 | 0.9985 True +9807 | 9807 | 0.9940 True +-------------------------------------------------------------------------------- +[1625/3000] Train loss: 0.00253, Valid loss: 0.00274, Elapsed_time: 446.88317 +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 +-------------------------------------------------------------------------------- +6014 | 6014 | 0.9929 True +4295 | 4295 | 0.9979 True +-------------------------------------------------------------------------------- +[1630/3000] Train loss: 0.00210, Valid loss: 0.00105, Elapsed_time: 448.15096 +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 +-------------------------------------------------------------------------------- +2985 | 2985 | 0.9986 True +3250 | 3250 | 0.9700 True +-------------------------------------------------------------------------------- +[1635/3000] Train loss: 0.00080, Valid loss: 0.00086, Elapsed_time: 449.71440 +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 +-------------------------------------------------------------------------------- +7278 | 7278 | 0.9961 True +9154 | 9154 | 0.9740 True +-------------------------------------------------------------------------------- +[1640/3000] Train loss: 0.00100, Valid loss: 0.00081, Elapsed_time: 450.98181 +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 +-------------------------------------------------------------------------------- +0649 | 0649 | 0.6849 True +8005 | 8005 | 0.9930 True +-------------------------------------------------------------------------------- +[1645/3000] Train loss: 0.00068, Valid loss: 0.00078, Elapsed_time: 452.25409 +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 +-------------------------------------------------------------------------------- +7933 | 7933 | 0.7955 True +2262 | 2262 | 0.5130 True +-------------------------------------------------------------------------------- +[1650/3000] Train loss: 0.00080, Valid loss: 0.00070, Elapsed_time: 453.54462 +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 +-------------------------------------------------------------------------------- +2886 | 2886 | 0.9929 True +0589 | 0589 | 0.9978 True +-------------------------------------------------------------------------------- +[1655/3000] Train loss: 0.00067, Valid loss: 0.00065, Elapsed_time: 454.86074 +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 +-------------------------------------------------------------------------------- +2917 | 2917 | 0.9971 True +6325 | 6325 | 0.9996 True +-------------------------------------------------------------------------------- +[1660/3000] Train loss: 0.00058, Valid loss: 0.00069, Elapsed_time: 456.14349 +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 +-------------------------------------------------------------------------------- +8005 | 8005 | 0.9948 True +0279 | 0279 | 0.9968 True +-------------------------------------------------------------------------------- +[1665/3000] Train loss: 0.00067, Valid loss: 0.00057, Elapsed_time: 457.76375 +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 +-------------------------------------------------------------------------------- +3019 | 3019 | 0.9980 True +7747 | 7747 | 0.8694 True +-------------------------------------------------------------------------------- +[1670/3000] Train loss: 0.00055, Valid loss: 0.00055, Elapsed_time: 459.10614 +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 +-------------------------------------------------------------------------------- +2886 | 2886 | 0.9938 True +1516 | 1516 | 0.9926 True +-------------------------------------------------------------------------------- +[1675/3000] Train loss: 0.00048, Valid loss: 0.00053, Elapsed_time: 460.37514 +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 +-------------------------------------------------------------------------------- +1155 | 1155 | 0.4691 True +4048 | 4048 | 0.9992 True +-------------------------------------------------------------------------------- +[1680/3000] Train loss: 0.00050, Valid loss: 0.00050, Elapsed_time: 461.68626 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9978 True +9725 | 9725 | 0.9996 True +-------------------------------------------------------------------------------- +[1685/3000] Train loss: 0.00058, Valid loss: 0.00052, Elapsed_time: 462.97950 +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 | 0.9390 True +8811 | 8811 | 0.6269 True +-------------------------------------------------------------------------------- +[1690/3000] Train loss: 0.00046, Valid loss: 0.00048, Elapsed_time: 464.22758 +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 +-------------------------------------------------------------------------------- +3326 | 3326 | 0.7225 True +6972 | 6972 | 0.9987 True +-------------------------------------------------------------------------------- +[1695/3000] Train loss: 0.00048, Valid loss: 0.00055, Elapsed_time: 465.51099 +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 +-------------------------------------------------------------------------------- +9740 | 9740 | 0.9971 True +3019 | 3019 | 0.9984 True +-------------------------------------------------------------------------------- +[1700/3000] Train loss: 0.00045, Valid loss: 0.00043, Elapsed_time: 467.09550 +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 +-------------------------------------------------------------------------------- +2886 | 2886 | 0.9968 True +8858 | 8858 | 0.9271 True +-------------------------------------------------------------------------------- +[1705/3000] Train loss: 0.00039, Valid loss: 0.00041, Elapsed_time: 468.39930 +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 +-------------------------------------------------------------------------------- +5904 | 5904 | 0.9987 True +2078 | 2078 | 0.9994 True +-------------------------------------------------------------------------------- +[1710/3000] Train loss: 0.00035, Valid loss: 0.00040, Elapsed_time: 469.65559 +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 +-------------------------------------------------------------------------------- +9754 | 9754 | 0.9836 True +0279 | 0279 | 0.9979 True +-------------------------------------------------------------------------------- +[1715/3000] Train loss: 0.00135, Valid loss: 0.04759, Elapsed_time: 470.94581 +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 +-------------------------------------------------------------------------------- +4432 | 4432 | 0.4114 True +3019 | 3018 | 0.9058 False +-------------------------------------------------------------------------------- +[1720/3000] Train loss: 0.00324, Valid loss: 0.00061, Elapsed_time: 472.22692 +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 +-------------------------------------------------------------------------------- +3908 | 3908 | 0.9924 True +3074 | 3074 | 0.9980 True +-------------------------------------------------------------------------------- +[1725/3000] Train loss: 0.00052, Valid loss: 0.00051, Elapsed_time: 473.46756 +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 +-------------------------------------------------------------------------------- +2358 | 2358 | 0.9956 True +9089 | 9089 | 0.9990 True +-------------------------------------------------------------------------------- +[1730/3000] Train loss: 0.00043, Valid loss: 0.00043, Elapsed_time: 475.01944 +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 +-------------------------------------------------------------------------------- +5977 | 5977 | 0.5690 True +7051 | 7051 | 0.9975 True +-------------------------------------------------------------------------------- +[1735/3000] Train loss: 0.00037, Valid loss: 0.00044, Elapsed_time: 476.34487 +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 +-------------------------------------------------------------------------------- +9148 | 9148 | 0.9989 True +7719 | 7719 | 0.9030 True +-------------------------------------------------------------------------------- +[1740/3000] Train loss: 0.00037, Valid loss: 0.00040, Elapsed_time: 477.60994 +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 +-------------------------------------------------------------------------------- +2468 | 2468 | 0.4964 True +8858 | 8858 | 0.9146 True +-------------------------------------------------------------------------------- +[1745/3000] Train loss: 0.00037, Valid loss: 0.00036, Elapsed_time: 478.88910 +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 +-------------------------------------------------------------------------------- +2140 | 2140 | 0.9981 True +2282 | 2282 | 0.5002 True +-------------------------------------------------------------------------------- +[1750/3000] Train loss: 0.00038, Valid loss: 0.00036, Elapsed_time: 480.18736 +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 +-------------------------------------------------------------------------------- +7747 | 7747 | 0.9172 True +4313 | 4313 | 0.9967 True +-------------------------------------------------------------------------------- +[1755/3000] Train loss: 0.00033, Valid loss: 0.00038, Elapsed_time: 481.45078 +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 +-------------------------------------------------------------------------------- +0279 | 0279 | 0.9983 True +4786 | 4786 | 0.9990 True +-------------------------------------------------------------------------------- +[1760/3000] Train loss: 0.00036, Valid loss: 0.00035, Elapsed_time: 483.00970 +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 +-------------------------------------------------------------------------------- +3074 | 3074 | 0.9985 True +6747 | 6747 | 0.9989 True +-------------------------------------------------------------------------------- +[1765/3000] Train loss: 0.00038, Valid loss: 0.00032, Elapsed_time: 484.30707 +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 +-------------------------------------------------------------------------------- +9807 | 9807 | 0.9984 True +0786 | 0786 | 0.9986 True +-------------------------------------------------------------------------------- +[1770/3000] Train loss: 0.00031, Valid loss: 0.00030, Elapsed_time: 485.60494 +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 +-------------------------------------------------------------------------------- +2886 | 2886 | 0.9944 True +1616 | 1616 | 0.9973 True +-------------------------------------------------------------------------------- +[1775/3000] Train loss: 0.00033, Valid loss: 0.00028, Elapsed_time: 486.87682 +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 +-------------------------------------------------------------------------------- +3191 | 3191 | 0.9996 True +5904 | 5904 | 0.9989 True +-------------------------------------------------------------------------------- +[1780/3000] Train loss: 0.00030, Valid loss: 0.00028, Elapsed_time: 488.12706 +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 +-------------------------------------------------------------------------------- +5053 | 5053 | 0.9984 True +9148 | 9148 | 0.9993 True +-------------------------------------------------------------------------------- +[1785/3000] Train loss: 0.00029, Valid loss: 0.00027, Elapsed_time: 489.38006 +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 +-------------------------------------------------------------------------------- +6972 | 6972 | 0.9991 True +6373 | 6373 | 0.9997 True +-------------------------------------------------------------------------------- +[1790/3000] Train loss: 0.00031, Valid loss: 0.00028, Elapsed_time: 490.67032 +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 +-------------------------------------------------------------------------------- +2078 | 2078 | 0.9995 True +1936 | 1936 | 0.9991 True +-------------------------------------------------------------------------------- +[1795/3000] Train loss: 0.00026, Valid loss: 0.00027, Elapsed_time: 492.27844 +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 +-------------------------------------------------------------------------------- +4977 | 4977 | 0.8831 True +2117 | 2117 | 0.9986 True +-------------------------------------------------------------------------------- +[1800/3000] Train loss: 0.00023, Valid loss: 0.00025, Elapsed_time: 493.56696 +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 +-------------------------------------------------------------------------------- +3908 | 3908 | 0.9992 True +6730 | 6730 | 0.9984 True +-------------------------------------------------------------------------------- +[1805/3000] Train loss: 0.00023, Valid loss: 0.00025, Elapsed_time: 494.85996 +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 +-------------------------------------------------------------------------------- +5012 | 5012 | 0.9993 True +5504 | 5504 | 0.9364 True +-------------------------------------------------------------------------------- +[1810/3000] Train loss: 0.00028, Valid loss: 0.00024, Elapsed_time: 496.18687 +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 +-------------------------------------------------------------------------------- +6591 | 6591 | 0.9996 True +0786 | 0786 | 0.9989 True +-------------------------------------------------------------------------------- +[1815/3000] Train loss: 0.00024, Valid loss: 0.00024, Elapsed_time: 497.46128 +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 +-------------------------------------------------------------------------------- +2262 | 2262 | 0.5659 True +6275 | 6275 | 0.9996 True +-------------------------------------------------------------------------------- +[1820/3000] Train loss: 0.00022, Valid loss: 0.00024, Elapsed_time: 498.76009 +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 +-------------------------------------------------------------------------------- +7747 | 7747 | 0.9341 True +5708 | 5708 | 0.9992 True +-------------------------------------------------------------------------------- +[1825/3000] Train loss: 0.00021, Valid loss: 0.00023, Elapsed_time: 500.35098 +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 +-------------------------------------------------------------------------------- +5078 | 5078 | 0.9996 True +4786 | 4786 | 0.9992 True +-------------------------------------------------------------------------------- +[1830/3000] Train loss: 0.00022, Valid loss: 0.00022, Elapsed_time: 501.67833 +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 +-------------------------------------------------------------------------------- +1475 | 1475 | 0.9995 True +5720 | 5720 | 0.9986 True +-------------------------------------------------------------------------------- +[1835/3000] Train loss: 0.00022, Valid loss: 0.00023, Elapsed_time: 502.92574 +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 +-------------------------------------------------------------------------------- +1195 | 1195 | 0.7963 True +4450 | 4450 | 0.7428 True +-------------------------------------------------------------------------------- +[1840/3000] Train loss: 0.00024, Valid loss: 0.00021, Elapsed_time: 504.19377 +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 +-------------------------------------------------------------------------------- +6972 | 6972 | 0.9992 True +4841 | 4841 | 0.9988 True +-------------------------------------------------------------------------------- +[1845/3000] Train loss: 0.00021, Valid loss: 0.00021, Elapsed_time: 505.49299 +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 +-------------------------------------------------------------------------------- +9970 | 9970 | 0.9015 True +9332 | 9332 | 0.9992 True +-------------------------------------------------------------------------------- +[1850/3000] Train loss: 0.00020, Valid loss: 0.00022, Elapsed_time: 506.75792 +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 +-------------------------------------------------------------------------------- +2867 | 2867 | 0.9994 True +3250 | 3250 | 0.9929 True +-------------------------------------------------------------------------------- +[1855/3000] Train loss: 0.00078, Valid loss: 0.00024, Elapsed_time: 508.04213 +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 +-------------------------------------------------------------------------------- +9329 | 9329 | 0.9995 True +2070 | 2070 | 0.9988 True +-------------------------------------------------------------------------------- +[1860/3000] Train loss: 0.00027, Valid loss: 0.00021, Elapsed_time: 509.69051 +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 +-------------------------------------------------------------------------------- +5012 | 5012 | 0.9993 True +0834 | 0834 | 0.9904 True +-------------------------------------------------------------------------------- +[1865/3000] Train loss: 0.00022, Valid loss: 0.00020, Elapsed_time: 510.99785 +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 +-------------------------------------------------------------------------------- +3074 | 3074 | 0.9989 True +8476 | 8476 | 0.9991 True +-------------------------------------------------------------------------------- +[1870/3000] Train loss: 0.00018, Valid loss: 0.00020, Elapsed_time: 512.25424 +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 +-------------------------------------------------------------------------------- +8115 | 8115 | 0.9991 True +5912 | 5912 | 0.9988 True +-------------------------------------------------------------------------------- +[1875/3000] Train loss: 0.00024, Valid loss: 0.00019, Elapsed_time: 513.54210 +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 +-------------------------------------------------------------------------------- +4295 | 4295 | 0.9994 True +0998 | 0998 | 0.9982 True +-------------------------------------------------------------------------------- +[1880/3000] Train loss: 0.00018, Valid loss: 0.00019, Elapsed_time: 514.79702 +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 +-------------------------------------------------------------------------------- +2917 | 2917 | 0.9991 True +9589 | 9589 | 0.9993 True +-------------------------------------------------------------------------------- +[1885/3000] Train loss: 0.00018, Valid loss: 0.00019, Elapsed_time: 516.09621 +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 +-------------------------------------------------------------------------------- +5912 | 5912 | 0.9988 True +5013 | 5013 | 0.9993 True +-------------------------------------------------------------------------------- +[1890/3000] Train loss: 0.00019, Valid loss: 0.00017, Elapsed_time: 517.66758 +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 +-------------------------------------------------------------------------------- +9797 | 9797 | 0.9992 True +1516 | 1516 | 0.9980 True +-------------------------------------------------------------------------------- +[1895/3000] Train loss: 0.00017, Valid loss: 0.00020, Elapsed_time: 518.95665 +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 +-------------------------------------------------------------------------------- +7933 | 7933 | 0.8628 True +9332 | 9332 | 0.9993 True +-------------------------------------------------------------------------------- +[1900/3000] Train loss: 0.00019, Valid loss: 0.00018, Elapsed_time: 520.30386 +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 +-------------------------------------------------------------------------------- +2853 | 2853 | 0.9992 True +4450 | 4450 | 0.7470 True +-------------------------------------------------------------------------------- +[1905/3000] Train loss: 0.00016, Valid loss: 0.00018, Elapsed_time: 521.60037 +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 +-------------------------------------------------------------------------------- +4816 | 4816 | 0.9984 True +7730 | 7730 | 0.7435 True +-------------------------------------------------------------------------------- +[1910/3000] Train loss: 0.00018, Valid loss: 0.00018, Elapsed_time: 522.88466 +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 +-------------------------------------------------------------------------------- +9545 | 9545 | 0.9994 True +3250 | 3250 | 0.9942 True +-------------------------------------------------------------------------------- +[1915/3000] Train loss: 0.00016, Valid loss: 0.00017, Elapsed_time: 524.22525 +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 +-------------------------------------------------------------------------------- +5708 | 5708 | 0.9994 True +7654 | 7654 | 0.9941 True +-------------------------------------------------------------------------------- +[1920/3000] Train loss: 0.00016, Valid loss: 0.00016, Elapsed_time: 525.86151 +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 +-------------------------------------------------------------------------------- +2878 | 2878 | 0.9997 True +9922 | 9922 | 0.6719 True +-------------------------------------------------------------------------------- +[1925/3000] Train loss: 0.00018, Valid loss: 0.00016, Elapsed_time: 527.14326 +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 +-------------------------------------------------------------------------------- +0083 | 0083 | 0.8959 True +4786 | 4786 | 0.9995 True +-------------------------------------------------------------------------------- +[1930/3000] Train loss: 0.00015, Valid loss: 0.00016, Elapsed_time: 528.46476 +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 +-------------------------------------------------------------------------------- +2358 | 2358 | 0.9985 True +8051 | 8051 | 0.9987 True +-------------------------------------------------------------------------------- +[1935/3000] Train loss: 0.00017, Valid loss: 0.00016, Elapsed_time: 529.77907 +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 +-------------------------------------------------------------------------------- +4695 | 4695 | 0.9984 True +2605 | 2605 | 0.9989 True +-------------------------------------------------------------------------------- +[1940/3000] Train loss: 0.00015, Valid loss: 0.00015, Elapsed_time: 531.11592 +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 +-------------------------------------------------------------------------------- +0311 | 0311 | 0.4669 True +7893 | 7893 | 0.9990 True +-------------------------------------------------------------------------------- +[1945/3000] Train loss: 0.00014, Valid loss: 0.00015, Elapsed_time: 532.40064 +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 +-------------------------------------------------------------------------------- +5708 | 5708 | 0.9994 True +1936 | 1936 | 0.9993 True +-------------------------------------------------------------------------------- +[1950/3000] Train loss: 0.00014, Valid loss: 0.00015, Elapsed_time: 533.70641 +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 +-------------------------------------------------------------------------------- +2016 | 2016 | 0.9993 True +6711 | 6711 | 0.5620 True +-------------------------------------------------------------------------------- +[1955/3000] Train loss: 0.00014, Valid loss: 0.00015, Elapsed_time: 535.36697 +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 +-------------------------------------------------------------------------------- +2070 | 2070 | 0.9992 True +6078 | 6078 | 0.9998 True +-------------------------------------------------------------------------------- +[1960/3000] Train loss: 0.00015, Valid loss: 0.00014, Elapsed_time: 536.66651 +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 +-------------------------------------------------------------------------------- +5067 | 5067 | 0.9989 True +8067 | 8067 | 0.9989 True +-------------------------------------------------------------------------------- +[1965/3000] Train loss: 0.00014, Valid loss: 0.00015, Elapsed_time: 538.00339 +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 +-------------------------------------------------------------------------------- +0589 | 0589 | 0.9995 True +7654 | 7654 | 0.9946 True +-------------------------------------------------------------------------------- +[1970/3000] Train loss: 0.00015, Valid loss: 0.00014, Elapsed_time: 539.32905 +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 +-------------------------------------------------------------------------------- +2605 | 2605 | 0.9990 True +8476 | 8476 | 0.9994 True +-------------------------------------------------------------------------------- +[1975/3000] Train loss: 0.00014, Valid loss: 0.00014, Elapsed_time: 540.63123 +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 +-------------------------------------------------------------------------------- +0998 | 0998 | 0.9984 True +4018 | 4018 | 0.9996 True +-------------------------------------------------------------------------------- +[1980/3000] Train loss: 0.00016, Valid loss: 0.00014, Elapsed_time: 541.88899 +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 +-------------------------------------------------------------------------------- +9490 | 9490 | 0.9992 True +6972 | 6972 | 0.9994 True +-------------------------------------------------------------------------------- +[1985/3000] Train loss: 0.00012, Valid loss: 0.00014, Elapsed_time: 543.51016 +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 +-------------------------------------------------------------------------------- +7435 | 7435 | 0.9995 True +4313 | 4313 | 0.9979 True +-------------------------------------------------------------------------------- +[1990/3000] Train loss: 0.00012, Valid loss: 0.00013, Elapsed_time: 544.83722 +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 +-------------------------------------------------------------------------------- +0187 | 0187 | 0.9987 True +7993 | 7993 | 0.9998 True +-------------------------------------------------------------------------------- +[1995/3000] Train loss: 0.00013, Valid loss: 0.00013, Elapsed_time: 546.13889 +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 +-------------------------------------------------------------------------------- +2985 | 2985 | 0.9997 True +4374 | 4374 | 0.9982 True +-------------------------------------------------------------------------------- +[2000/3000] Train loss: 0.00014, Valid loss: 0.00013, Elapsed_time: 547.47921 +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 +-------------------------------------------------------------------------------- +4846 | 4846 | 0.9997 True +5218 | 5218 | 0.9998 True +-------------------------------------------------------------------------------- +[2005/3000] Train loss: 0.00013, Valid loss: 0.00012, Elapsed_time: 548.78058 +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 +-------------------------------------------------------------------------------- +1432 | 1432 | 0.9994 True +2016 | 2016 | 0.9994 True +-------------------------------------------------------------------------------- +[2010/3000] Train loss: 0.00012, Valid loss: 0.00013, Elapsed_time: 550.07326 +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 +-------------------------------------------------------------------------------- +8005 | 8005 | 0.9990 True +9300 | 9300 | 0.6920 True +-------------------------------------------------------------------------------- +[2015/3000] Train loss: 0.00016, Valid loss: 0.00012, Elapsed_time: 551.33678 +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 +-------------------------------------------------------------------------------- +5827 | 5827 | 0.9995 True +9148 | 9148 | 0.9996 True +-------------------------------------------------------------------------------- +[2020/3000] Train loss: 0.00012, Valid loss: 0.00012, Elapsed_time: 552.90191 +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 +-------------------------------------------------------------------------------- +3854 | 3854 | 0.9824 True +6323 | 6323 | 0.9998 True +-------------------------------------------------------------------------------- +[2025/3000] Train loss: 0.00011, Valid loss: 0.00012, Elapsed_time: 554.20625 +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 +-------------------------------------------------------------------------------- +2492 | 2492 | 0.9997 True +0439 | 0439 | 0.9994 True +-------------------------------------------------------------------------------- +[2030/3000] Train loss: 0.00014, Valid loss: 0.00012, Elapsed_time: 555.45380 +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 +-------------------------------------------------------------------------------- +8303 | 8303 | 0.9995 True +6730 | 6730 | 0.9990 True +-------------------------------------------------------------------------------- +[2035/3000] Train loss: 0.00012, Valid loss: 0.00012, Elapsed_time: 556.72213 +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 +-------------------------------------------------------------------------------- +3031 | 3031 | 0.9994 True +4816 | 4816 | 0.9990 True +-------------------------------------------------------------------------------- +[2040/3000] Train loss: 0.00012, Valid loss: 0.00012, Elapsed_time: 557.95642 +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 +-------------------------------------------------------------------------------- +5720 | 5720 | 0.9989 True +6391 | 6391 | 0.9998 True +-------------------------------------------------------------------------------- +[2045/3000] Train loss: 0.00012, Valid loss: 0.00013, Elapsed_time: 559.23569 +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 +-------------------------------------------------------------------------------- +4048 | 4048 | 0.9997 True +7933 | 7933 | 0.8504 True +-------------------------------------------------------------------------------- +[2050/3000] Train loss: 0.00037, Valid loss: 0.00013, Elapsed_time: 560.82131 +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 +-------------------------------------------------------------------------------- +2981 | 2981 | 0.9997 True +4383 | 4383 | 0.9995 True +-------------------------------------------------------------------------------- +[2055/3000] Train loss: 0.00013, Valid loss: 0.00013, Elapsed_time: 562.13464 +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 +-------------------------------------------------------------------------------- +4450 | 4450 | 0.7617 True +3389 | 3389 | 0.8684 True +-------------------------------------------------------------------------------- +[2060/3000] Train loss: 0.00012, Valid loss: 0.00013, Elapsed_time: 563.39185 +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 +-------------------------------------------------------------------------------- +4044 | 4044 | 0.7033 True +3929 | 3929 | 0.9997 True +-------------------------------------------------------------------------------- +[2065/3000] Train loss: 0.00012, Valid loss: 0.00012, Elapsed_time: 564.68029 +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 +-------------------------------------------------------------------------------- +2605 | 2605 | 0.9993 True +2981 | 2981 | 0.9997 True +-------------------------------------------------------------------------------- +[2070/3000] Train loss: 0.00017, Valid loss: 0.00013, Elapsed_time: 565.96679 +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 +-------------------------------------------------------------------------------- +6381 | 6381 | 0.9997 True +7747 | 7747 | 0.9435 True +-------------------------------------------------------------------------------- +[2075/3000] Train loss: 0.00013, Valid loss: 0.00012, Elapsed_time: 567.26617 +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 +-------------------------------------------------------------------------------- +1516 | 1516 | 0.9992 True +8170 | 8170 | 0.9991 True +-------------------------------------------------------------------------------- +[2080/3000] Train loss: 0.12425, Valid loss: 0.04862, Elapsed_time: 568.81747 +Current_accuracy : 95.500, Current_norm_ED : 0.9888 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +5720 | 5720 | 0.9933 True +6275 | 6275 | 0.9988 True +-------------------------------------------------------------------------------- +[2085/3000] Train loss: 0.03293, Valid loss: 0.02505, Elapsed_time: 570.10244 +Current_accuracy : 96.000, Current_norm_ED : 0.9918 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +0839 | 0839 | 0.9248 True +6711 | 6711 | 0.7619 True +-------------------------------------------------------------------------------- +[2090/3000] Train loss: 0.00625, Valid loss: 0.00051, Elapsed_time: 571.38566 +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 +-------------------------------------------------------------------------------- +7731 | 7731 | 0.9522 True +2981 | 2981 | 0.9977 True +-------------------------------------------------------------------------------- +[2095/3000] Train loss: 0.00127, Valid loss: 0.00036, Elapsed_time: 572.69022 +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 +-------------------------------------------------------------------------------- +2282 | 2282 | 0.4381 True +5493 | 5493 | 0.9991 True +-------------------------------------------------------------------------------- +[2100/3000] Train loss: 0.00038, Valid loss: 0.00029, Elapsed_time: 574.01559 +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 +-------------------------------------------------------------------------------- +8785 | 8785 | 0.9993 True +4908 | 4908 | 0.9987 True +-------------------------------------------------------------------------------- +[2105/3000] Train loss: 0.00079, Valid loss: 0.00035, Elapsed_time: 575.29397 +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 +-------------------------------------------------------------------------------- +2985 | 2985 | 0.9996 True +6381 | 6381 | 0.9997 True +-------------------------------------------------------------------------------- +[2110/3000] Train loss: 0.00032, Valid loss: 0.00028, Elapsed_time: 576.59011 +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 +-------------------------------------------------------------------------------- +2140 | 2140 | 0.9950 True +1772 | 1772 | 0.9982 True +-------------------------------------------------------------------------------- +[2115/3000] Train loss: 0.00035, Valid loss: 0.00025, Elapsed_time: 578.16422 +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 +-------------------------------------------------------------------------------- +1432 | 1432 | 0.9990 True +9754 | 9754 | 0.9873 True +-------------------------------------------------------------------------------- +[2120/3000] Train loss: 0.00028, Valid loss: 0.00023, Elapsed_time: 579.51857 +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 +-------------------------------------------------------------------------------- +1432 | 1432 | 0.9990 True +0834 | 0834 | 0.9888 True +-------------------------------------------------------------------------------- +[2125/3000] Train loss: 0.00029, Valid loss: 0.00022, Elapsed_time: 580.83049 +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 +-------------------------------------------------------------------------------- +9490 | 9490 | 0.9984 True +2981 | 2981 | 0.9997 True +-------------------------------------------------------------------------------- +[2130/3000] Train loss: 0.00026, Valid loss: 0.00021, Elapsed_time: 582.14491 +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 +-------------------------------------------------------------------------------- +0279 | 0279 | 0.9988 True +7435 | 7435 | 0.9995 True +-------------------------------------------------------------------------------- +[2135/3000] Train loss: 0.00020, Valid loss: 0.00021, Elapsed_time: 583.43818 +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 +-------------------------------------------------------------------------------- +5912 | 5912 | 0.9973 True +9184 | 9184 | 0.9994 True +-------------------------------------------------------------------------------- +[2140/3000] Train loss: 0.00022, Valid loss: 0.00019, Elapsed_time: 584.70179 +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 +-------------------------------------------------------------------------------- +5183 | 5183 | 0.9994 True +4695 | 4695 | 0.9990 True +-------------------------------------------------------------------------------- +[2145/3000] Train loss: 0.00025, Valid loss: 0.00018, Elapsed_time: 586.24179 +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 +-------------------------------------------------------------------------------- +6248 | 6248 | 0.9995 True +1667 | 1667 | 0.9977 True +-------------------------------------------------------------------------------- +[2150/3000] Train loss: 0.01812, Valid loss: 0.00024, Elapsed_time: 587.56128 +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 +-------------------------------------------------------------------------------- +0132 | 0132 | 0.9988 True +7655 | 7655 | 0.6308 True +-------------------------------------------------------------------------------- +[2155/3000] Train loss: 0.00024, Valid loss: 0.00020, Elapsed_time: 588.88807 +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 +-------------------------------------------------------------------------------- +3563 | 3563 | 0.9989 True +4048 | 4048 | 0.9990 True +-------------------------------------------------------------------------------- +[2160/3000] Train loss: 0.00024, Valid loss: 0.00021, Elapsed_time: 590.15957 +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 +-------------------------------------------------------------------------------- +1936 | 1936 | 0.9720 True +7730 | 7730 | 0.5238 True +-------------------------------------------------------------------------------- +[2165/3000] Train loss: 0.00027, Valid loss: 0.00018, Elapsed_time: 591.42373 +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 +-------------------------------------------------------------------------------- +0083 | 0083 | 0.8026 True +2282 | 2282 | 0.5801 True +-------------------------------------------------------------------------------- +[2170/3000] Train loss: 0.00021, Valid loss: 0.00019, Elapsed_time: 592.68995 +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 +-------------------------------------------------------------------------------- +6026 | 6026 | 0.9988 True +9054 | 9054 | 0.9861 True +-------------------------------------------------------------------------------- +[2175/3000] Train loss: 0.00021, Valid loss: 0.00018, Elapsed_time: 593.96779 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9995 True +1936 | 1936 | 0.9783 True +-------------------------------------------------------------------------------- +[2180/3000] Train loss: 0.00021, Valid loss: 0.00018, Elapsed_time: 595.54653 +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 +-------------------------------------------------------------------------------- +2886 | 2886 | 0.9994 True +4841 | 4841 | 0.9993 True +-------------------------------------------------------------------------------- +[2185/3000] Train loss: 0.00019, Valid loss: 0.00017, Elapsed_time: 596.83055 +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 +-------------------------------------------------------------------------------- +6381 | 6381 | 0.9997 True +5634 | 5634 | 0.9990 True +-------------------------------------------------------------------------------- +[2190/3000] Train loss: 0.00021, Valid loss: 0.00017, Elapsed_time: 598.10660 +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 +-------------------------------------------------------------------------------- +1516 | 1516 | 0.9883 True +3389 | 3389 | 0.8870 True +-------------------------------------------------------------------------------- +[2195/3000] Train loss: 0.01437, Valid loss: 0.00179, Elapsed_time: 599.40692 +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 +-------------------------------------------------------------------------------- +8476 | 8476 | 0.9982 True +4018 | 4018 | 0.9882 True +-------------------------------------------------------------------------------- +[2200/3000] Train loss: 0.03870, Valid loss: 0.01170, Elapsed_time: 600.72488 +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 +-------------------------------------------------------------------------------- +1040 | 1040 | 0.9982 True +4313 | 4313 | 0.9976 True +-------------------------------------------------------------------------------- +[2205/3000] Train loss: 0.00230, Valid loss: 0.00937, Elapsed_time: 602.02802 +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 +-------------------------------------------------------------------------------- +2078 | 2078 | 0.9995 True +6591 | 6591 | 0.9996 True +-------------------------------------------------------------------------------- +[2210/3000] Train loss: 0.00071, Valid loss: 0.02122, Elapsed_time: 603.62245 +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 +-------------------------------------------------------------------------------- +2521 | 2521 | 0.9997 True +9922 | 9922 | 0.4075 True +-------------------------------------------------------------------------------- +[2215/3000] Train loss: 0.00561, Valid loss: 0.00056, Elapsed_time: 604.89981 +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 +-------------------------------------------------------------------------------- +9807 | 9807 | 0.9979 True +5863 | 5863 | 0.9985 True +-------------------------------------------------------------------------------- +[2220/3000] Train loss: 0.00047, Valid loss: 0.00041, Elapsed_time: 606.23707 +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 +-------------------------------------------------------------------------------- +4242 | 4242 | 0.9957 True +5504 | 5504 | 0.9454 True +-------------------------------------------------------------------------------- +[2225/3000] Train loss: 0.00043, Valid loss: 0.00033, Elapsed_time: 607.57819 +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 +-------------------------------------------------------------------------------- +2492 | 2492 | 0.9977 True +9300 | 9300 | 0.6820 True +-------------------------------------------------------------------------------- +[2230/3000] Train loss: 0.09082, Valid loss: 0.00233, Elapsed_time: 608.89646 +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 +-------------------------------------------------------------------------------- +1195 | 1195 | 0.4645 True +9139 | 9139 | 0.9994 True +-------------------------------------------------------------------------------- +[2235/3000] Train loss: 0.00062, Valid loss: 0.00077, Elapsed_time: 610.18144 +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 +-------------------------------------------------------------------------------- +5145 | 5145 | 0.9991 True +7157 | 7157 | 0.9956 True +-------------------------------------------------------------------------------- +[2240/3000] Train loss: 0.00044, Valid loss: 0.00067, Elapsed_time: 611.77408 +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 +-------------------------------------------------------------------------------- +7595 | 7595 | 0.9992 True +7744 | 7744 | 0.5215 True +-------------------------------------------------------------------------------- +[2245/3000] Train loss: 0.00077, Valid loss: 0.00046, Elapsed_time: 613.11149 +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 +-------------------------------------------------------------------------------- +6014 | 6014 | 0.9960 True +8811 | 8811 | 0.3690 True +-------------------------------------------------------------------------------- +[2250/3000] Train loss: 0.00044, Valid loss: 0.00035, Elapsed_time: 614.47105 +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 +-------------------------------------------------------------------------------- +8476 | 8476 | 0.9986 True +7435 | 7435 | 0.9992 True +-------------------------------------------------------------------------------- +[2255/3000] Train loss: 0.00034, Valid loss: 0.00031, Elapsed_time: 615.80480 +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 +-------------------------------------------------------------------------------- +3854 | 3854 | 0.9760 True +8521 | 8521 | 0.9988 True +-------------------------------------------------------------------------------- +[2260/3000] Train loss: 0.00065, Valid loss: 0.00032, Elapsed_time: 617.08856 +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 +-------------------------------------------------------------------------------- +6078 | 6078 | 0.9996 True +2468 | 2468 | 0.9325 True +-------------------------------------------------------------------------------- +[2265/3000] Train loss: 0.00028, Valid loss: 0.00037, Elapsed_time: 618.37543 +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 +-------------------------------------------------------------------------------- +4432 | 4432 | 0.9488 True +9436 | 9436 | 0.9864 True +-------------------------------------------------------------------------------- +[2270/3000] Train loss: 0.00030, Valid loss: 0.00027, Elapsed_time: 619.66949 +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 +-------------------------------------------------------------------------------- +1667 | 1667 | 0.9978 True +5218 | 5218 | 0.9997 True +-------------------------------------------------------------------------------- +[2275/3000] Train loss: 0.00025, Valid loss: 0.00028, Elapsed_time: 621.31876 +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 +-------------------------------------------------------------------------------- +6325 | 6325 | 0.9998 True +4242 | 4242 | 0.9982 True +-------------------------------------------------------------------------------- +[2280/3000] Train loss: 0.00037, Valid loss: 0.00024, Elapsed_time: 622.60956 +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 +-------------------------------------------------------------------------------- +5218 | 5218 | 0.9997 True +7993 | 7993 | 0.9988 True +-------------------------------------------------------------------------------- +[2285/3000] Train loss: 0.00023, Valid loss: 0.00022, Elapsed_time: 624.08300 +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 +-------------------------------------------------------------------------------- +4379 | 4379 | 0.9984 True +8521 | 8521 | 0.9992 True +-------------------------------------------------------------------------------- +[2290/3000] Train loss: 0.00022, Valid loss: 0.00021, Elapsed_time: 625.54497 +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 +-------------------------------------------------------------------------------- +9922 | 9922 | 0.6254 True +0839 | 0839 | 0.9958 True +-------------------------------------------------------------------------------- +[2295/3000] Train loss: 0.00019, Valid loss: 0.00019, Elapsed_time: 626.90981 +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 +-------------------------------------------------------------------------------- +8902 | 8902 | 0.9992 True +9030 | 9030 | 0.9991 True +-------------------------------------------------------------------------------- +[2300/3000] Train loss: 0.00022, Valid loss: 0.00019, Elapsed_time: 628.27243 +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 +-------------------------------------------------------------------------------- +1667 | 1667 | 0.9982 True +7408 | 7408 | 0.9993 True +-------------------------------------------------------------------------------- +[2305/3000] Train loss: 0.00022, Valid loss: 0.00019, Elapsed_time: 629.87611 +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 +-------------------------------------------------------------------------------- +0589 | 0589 | 0.9991 True +5904 | 5904 | 0.9993 True +-------------------------------------------------------------------------------- +[2310/3000] Train loss: 0.00017, Valid loss: 0.00018, Elapsed_time: 631.17733 +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 +-------------------------------------------------------------------------------- +3191 | 3191 | 0.9996 True +4677 | 4677 | 0.5388 True +-------------------------------------------------------------------------------- +[2315/3000] Train loss: 0.00018, Valid loss: 0.00019, Elapsed_time: 632.55568 +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 +-------------------------------------------------------------------------------- +0998 | 0998 | 0.9978 True +3250 | 3250 | 0.9906 True +-------------------------------------------------------------------------------- +[2320/3000] Train loss: 0.00017, Valid loss: 0.00017, Elapsed_time: 633.94313 +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 +-------------------------------------------------------------------------------- +1195 | 1195 | 0.8259 True +2468 | 2468 | 0.9760 True +-------------------------------------------------------------------------------- +[2325/3000] Train loss: 0.00019, Valid loss: 0.00015, Elapsed_time: 635.24156 +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 +-------------------------------------------------------------------------------- +4295 | 4295 | 0.9995 True +0691 | 0691 | 0.9675 True +-------------------------------------------------------------------------------- +[2330/3000] Train loss: 0.00015, Valid loss: 0.00016, Elapsed_time: 636.52619 +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 +-------------------------------------------------------------------------------- +0649 | 0649 | 0.9652 True +3312 | 3312 | 0.3984 True +-------------------------------------------------------------------------------- +[2335/3000] Train loss: 0.00026, Valid loss: 0.00015, Elapsed_time: 637.80283 +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 +-------------------------------------------------------------------------------- +9740 | 9740 | 0.9984 True +4841 | 4841 | 0.9993 True +-------------------------------------------------------------------------------- +[2340/3000] Train loss: 0.00016, Valid loss: 0.00016, Elapsed_time: 639.42177 +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 +-------------------------------------------------------------------------------- +3563 | 3563 | 0.9995 True +5504 | 5504 | 0.9297 True +-------------------------------------------------------------------------------- +[2345/3000] Train loss: 0.00015, Valid loss: 0.00015, Elapsed_time: 640.70743 +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 +-------------------------------------------------------------------------------- +9083 | 9083 | 0.9995 True +9030 | 9030 | 0.9993 True +-------------------------------------------------------------------------------- +[2350/3000] Train loss: 0.00014, Valid loss: 0.00014, Elapsed_time: 642.01719 +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 +-------------------------------------------------------------------------------- +0786 | 0786 | 0.9991 True +5145 | 5145 | 0.9994 True +-------------------------------------------------------------------------------- +[2355/3000] Train loss: 0.00016, Valid loss: 0.00014, Elapsed_time: 643.31284 +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 +-------------------------------------------------------------------------------- +4908 | 4908 | 0.9988 True +2016 | 2016 | 0.9978 True +-------------------------------------------------------------------------------- +[2360/3000] Train loss: 0.00016, Valid loss: 0.00014, Elapsed_time: 644.63463 +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 +-------------------------------------------------------------------------------- +4018 | 4018 | 0.9996 True +5904 | 5904 | 0.9995 True +-------------------------------------------------------------------------------- +[2365/3000] Train loss: 0.00014, Valid loss: 0.00015, Elapsed_time: 645.94057 +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 +-------------------------------------------------------------------------------- +4816 | 4816 | 0.9890 True +9011 | 9011 | 0.5871 True +-------------------------------------------------------------------------------- +[2370/3000] Train loss: 0.00016, Valid loss: 0.00013, Elapsed_time: 647.51144 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9993 True +9005 | 9005 | 0.9992 True +-------------------------------------------------------------------------------- +[2375/3000] Train loss: 0.00012, Valid loss: 0.00012, Elapsed_time: 648.84752 +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 +-------------------------------------------------------------------------------- +7475 | 7475 | 0.9995 True +9589 | 9589 | 0.9995 True +-------------------------------------------------------------------------------- +[2380/3000] Train loss: 0.00015, Valid loss: 0.00012, Elapsed_time: 650.11195 +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 +-------------------------------------------------------------------------------- +6747 | 6747 | 0.9991 True +6248 | 6248 | 0.9997 True +-------------------------------------------------------------------------------- +[2385/3000] Train loss: 0.00012, Valid loss: 0.00012, Elapsed_time: 651.40888 +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 +-------------------------------------------------------------------------------- +2917 | 2917 | 0.9994 True +1636 | 1636 | 0.9872 True +-------------------------------------------------------------------------------- +[2390/3000] Train loss: 0.00012, Valid loss: 0.00012, Elapsed_time: 652.72255 +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 +-------------------------------------------------------------------------------- +9089 | 9089 | 0.9996 True +3854 | 3854 | 0.9928 True +-------------------------------------------------------------------------------- +[2395/3000] Train loss: 0.00013, Valid loss: 0.00011, Elapsed_time: 654.05693 +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 +-------------------------------------------------------------------------------- +0439 | 0439 | 0.9994 True +7408 | 7408 | 0.9996 True +-------------------------------------------------------------------------------- +[2400/3000] Train loss: 0.00018, Valid loss: 0.00011, Elapsed_time: 655.65127 +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 +-------------------------------------------------------------------------------- +9083 | 9083 | 0.9996 True +4295 | 4295 | 0.9996 True +-------------------------------------------------------------------------------- +[2405/3000] Train loss: 0.00012, Valid loss: 0.00011, Elapsed_time: 656.92475 +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 +-------------------------------------------------------------------------------- +5464 | 5464 | 0.9992 True +6325 | 6325 | 0.9999 True +-------------------------------------------------------------------------------- +[2410/3000] Train loss: 0.00013, Valid loss: 0.00011, Elapsed_time: 658.20969 +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 +-------------------------------------------------------------------------------- +5504 | 5504 | 0.9741 True +6972 | 6972 | 0.9995 True +-------------------------------------------------------------------------------- +[2415/3000] Train loss: 0.00010, Valid loss: 0.00012, Elapsed_time: 659.52050 +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 +-------------------------------------------------------------------------------- +2917 | 2917 | 0.9995 True +9148 | 9148 | 0.9997 True +-------------------------------------------------------------------------------- +[2420/3000] Train loss: 0.00011, Valid loss: 0.00011, Elapsed_time: 660.82223 +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 +-------------------------------------------------------------------------------- +6325 | 6325 | 0.9999 True +8892 | 8892 | 0.4435 True +-------------------------------------------------------------------------------- +[2425/3000] Train loss: 0.00010, Valid loss: 0.00012, Elapsed_time: 662.10580 +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 +-------------------------------------------------------------------------------- +6591 | 6591 | 0.9998 True +3279 | 3279 | 0.9980 True +-------------------------------------------------------------------------------- +[2430/3000] Train loss: 0.00011, Valid loss: 0.00011, Elapsed_time: 663.38589 +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 +-------------------------------------------------------------------------------- +5493 | 5493 | 0.9997 True +0439 | 0439 | 0.9994 True +-------------------------------------------------------------------------------- +[2435/3000] Train loss: 0.00010, Valid loss: 0.00011, Elapsed_time: 664.96609 +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 +-------------------------------------------------------------------------------- +6825 | 6825 | 0.9995 True +5493 | 5493 | 0.9997 True +-------------------------------------------------------------------------------- +[2440/3000] Train loss: 0.00011, Valid loss: 0.00010, Elapsed_time: 666.33154 +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 +-------------------------------------------------------------------------------- +7475 | 7475 | 0.9996 True +5183 | 5183 | 0.9996 True +-------------------------------------------------------------------------------- +[2445/3000] Train loss: 0.00010, Valid loss: 0.00011, Elapsed_time: 667.59463 +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 +-------------------------------------------------------------------------------- +3250 | 3250 | 0.9952 True +9725 | 9725 | 0.9999 True +-------------------------------------------------------------------------------- +[2450/3000] Train loss: 0.00011, Valid loss: 0.00010, Elapsed_time: 668.86624 +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 +-------------------------------------------------------------------------------- +8858 | 8858 | 0.9113 True +2867 | 2867 | 0.9996 True +-------------------------------------------------------------------------------- +[2455/3000] Train loss: 0.00010, Valid loss: 0.00010, Elapsed_time: 670.18793 +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 +-------------------------------------------------------------------------------- +9970 | 9970 | 0.9585 True +8521 | 8521 | 0.9997 True +-------------------------------------------------------------------------------- +[2460/3000] Train loss: 0.00011, Valid loss: 0.00010, Elapsed_time: 671.49741 +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 +-------------------------------------------------------------------------------- +9011 | 9011 | 0.6773 True +0839 | 0839 | 0.9978 True +-------------------------------------------------------------------------------- +[2465/3000] Train loss: 0.00011, Valid loss: 0.00011, Elapsed_time: 673.09708 +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 +-------------------------------------------------------------------------------- +4450 | 4450 | 0.9498 True +3982 | 3982 | 0.9998 True +-------------------------------------------------------------------------------- +[2470/3000] Train loss: 0.00009, Valid loss: 0.00010, Elapsed_time: 674.47764 +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 +-------------------------------------------------------------------------------- +5013 | 5013 | 0.9997 True +0589 | 0589 | 0.9995 True +-------------------------------------------------------------------------------- +[2475/3000] Train loss: 0.00010, Valid loss: 0.00011, Elapsed_time: 675.81784 +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 +-------------------------------------------------------------------------------- +2117 | 2117 | 0.9994 True +7893 | 7893 | 0.9989 True +-------------------------------------------------------------------------------- +[2480/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 677.13982 +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 +-------------------------------------------------------------------------------- +7157 | 7157 | 0.9974 True +6747 | 6747 | 0.9995 True +-------------------------------------------------------------------------------- +[2485/3000] Train loss: 0.00010, Valid loss: 0.00010, Elapsed_time: 678.44427 +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 +-------------------------------------------------------------------------------- +0187 | 0187 | 0.9994 True +9089 | 9089 | 0.9997 True +-------------------------------------------------------------------------------- +[2490/3000] Train loss: 0.00010, Valid loss: 0.00010, Elapsed_time: 679.77554 +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 +-------------------------------------------------------------------------------- +1870 | 1870 | 0.9994 True +9490 | 9490 | 0.9995 True +-------------------------------------------------------------------------------- +[2495/3000] Train loss: 0.00010, Valid loss: 0.00010, Elapsed_time: 681.09127 +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 +-------------------------------------------------------------------------------- +6591 | 6591 | 0.9998 True +6711 | 6711 | 0.3848 True +-------------------------------------------------------------------------------- +[2500/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 682.73320 +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 +-------------------------------------------------------------------------------- +2981 | 2981 | 0.9998 True +4786 | 4786 | 0.9995 True +-------------------------------------------------------------------------------- +[2505/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 684.09842 +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 +-------------------------------------------------------------------------------- +8892 | 8892 | 0.3518 True +5912 | 5912 | 0.9993 True +-------------------------------------------------------------------------------- +[2510/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 685.44286 +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 +-------------------------------------------------------------------------------- +6730 | 6730 | 0.9995 True +9139 | 9139 | 0.9997 True +-------------------------------------------------------------------------------- +[2515/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 686.77343 +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 +-------------------------------------------------------------------------------- +7744 | 7744 | 0.2822 True +7933 | 7933 | 0.9620 True +-------------------------------------------------------------------------------- +[2520/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 688.12568 +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 +-------------------------------------------------------------------------------- +6730 | 6730 | 0.9995 True +4383 | 4383 | 0.9997 True +-------------------------------------------------------------------------------- +[2525/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 689.42686 +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 +-------------------------------------------------------------------------------- +5493 | 5493 | 0.9997 True +8303 | 8303 | 0.9997 True +-------------------------------------------------------------------------------- +[2530/3000] Train loss: 0.00014, Valid loss: 0.00009, Elapsed_time: 691.06390 +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 +-------------------------------------------------------------------------------- +0839 | 0839 | 0.9987 True +7051 | 7051 | 0.9990 True +-------------------------------------------------------------------------------- +[2535/3000] Train loss: 0.00008, Valid loss: 0.00008, Elapsed_time: 692.44617 +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 +-------------------------------------------------------------------------------- +1616 | 1616 | 0.9946 True +4786 | 4786 | 0.9996 True +-------------------------------------------------------------------------------- +[2540/3000] Train loss: 0.00008, Valid loss: 0.00008, Elapsed_time: 693.77719 +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 | 0.9997 True +3031 | 3031 | 0.9996 True +-------------------------------------------------------------------------------- +[2545/3000] Train loss: 0.00009, Valid loss: 0.00008, Elapsed_time: 695.10964 +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 +-------------------------------------------------------------------------------- +4432 | 4432 | 0.8699 True +2282 | 2282 | 0.7336 True +-------------------------------------------------------------------------------- +[2550/3000] Train loss: 0.00011, Valid loss: 0.00008, Elapsed_time: 696.43437 +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 +-------------------------------------------------------------------------------- +2981 | 2981 | 0.9998 True +1636 | 1636 | 0.9920 True +-------------------------------------------------------------------------------- +[2555/3000] Train loss: 0.00008, Valid loss: 0.00008, Elapsed_time: 697.73585 +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 +-------------------------------------------------------------------------------- +5183 | 5183 | 0.9997 True +5493 | 5493 | 0.9997 True +-------------------------------------------------------------------------------- +[2560/3000] Train loss: 0.06059, Valid loss: 0.19550, Elapsed_time: 699.34551 +Current_accuracy : 89.500, Current_norm_ED : 0.9738 +Best_accuracy : 100.000, Best_norm_ED : 1.0000 +-------------------------------------------------------------------------------- +Ground Truth | Prediction | Confidence Score & T/F +-------------------------------------------------------------------------------- +3031 | 3031 | 0.9995 True +0146 | 0146 | 0.9972 True +-------------------------------------------------------------------------------- +[2565/3000] Train loss: 0.00023, Valid loss: 0.00010, Elapsed_time: 700.72376 +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 +-------------------------------------------------------------------------------- +2521 | 2521 | 0.9998 True +8194 | 8194 | 0.9997 True +-------------------------------------------------------------------------------- +[2570/3000] Train loss: 0.00009, Valid loss: 0.00010, Elapsed_time: 702.00913 +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 +-------------------------------------------------------------------------------- +9030 | 9030 | 0.9995 True +8892 | 8892 | 0.7108 True +-------------------------------------------------------------------------------- +[2575/3000] Train loss: 0.00010, Valid loss: 0.00009, Elapsed_time: 703.31997 +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 +-------------------------------------------------------------------------------- +3019 | 3019 | 0.9997 True +4242 | 4242 | 0.9996 True +-------------------------------------------------------------------------------- +[2580/3000] Train loss: 0.00010, Valid loss: 0.00009, Elapsed_time: 704.60457 +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 +-------------------------------------------------------------------------------- +7655 | 7655 | 0.8324 True +3308 | 3308 | 0.7213 True +-------------------------------------------------------------------------------- +[2585/3000] Train loss: 0.00011, Valid loss: 0.00010, Elapsed_time: 705.92354 +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 +-------------------------------------------------------------------------------- +4677 | 4677 | 0.8540 True +4974 | 4974 | 0.9992 True +-------------------------------------------------------------------------------- +[2590/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 707.19453 +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 +-------------------------------------------------------------------------------- +5904 | 5904 | 0.9997 True +6825 | 6825 | 0.9996 True +-------------------------------------------------------------------------------- +[2595/3000] Train loss: 0.00031, Valid loss: 0.00009, Elapsed_time: 708.72274 +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 +-------------------------------------------------------------------------------- +9184 | 9184 | 0.9997 True +8811 | 8811 | 0.7853 True +-------------------------------------------------------------------------------- +[2600/3000] Train loss: 0.00011, Valid loss: 0.00009, Elapsed_time: 710.05553 +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 +-------------------------------------------------------------------------------- +9154 | 9154 | 0.9941 True +4242 | 4242 | 0.9996 True +-------------------------------------------------------------------------------- +[2605/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 711.33561 +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 +-------------------------------------------------------------------------------- +0261 | 0261 | 0.9989 True +7157 | 7157 | 0.9974 True +-------------------------------------------------------------------------------- +[2610/3000] Train loss: 0.00014, Valid loss: 0.00009, Elapsed_time: 712.62991 +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 +-------------------------------------------------------------------------------- +5708 | 5708 | 0.9994 True +7435 | 7435 | 0.9996 True +-------------------------------------------------------------------------------- +[2615/3000] Train loss: 0.00010, Valid loss: 0.00009, Elapsed_time: 713.95166 +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 +-------------------------------------------------------------------------------- +6373 | 6373 | 0.9999 True +8939 | 8939 | 0.9985 True +-------------------------------------------------------------------------------- +[2620/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 715.26940 +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 +-------------------------------------------------------------------------------- +6462 | 6462 | 0.9997 True +5634 | 5634 | 0.9995 True +-------------------------------------------------------------------------------- +[2625/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 716.87139 +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 +-------------------------------------------------------------------------------- +1936 | 1936 | 0.9939 True +6060 | 6060 | 0.9995 True +-------------------------------------------------------------------------------- +[2630/3000] Train loss: 0.00008, Valid loss: 0.00009, Elapsed_time: 718.19330 +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 +-------------------------------------------------------------------------------- +0035 | 0035 | 0.8031 True +7719 | 7719 | 0.8975 True +-------------------------------------------------------------------------------- +[2635/3000] Train loss: 0.00011, Valid loss: 0.00008, Elapsed_time: 719.45920 +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 +-------------------------------------------------------------------------------- +8005 | 8005 | 0.9992 True +4242 | 4242 | 0.9997 True +-------------------------------------------------------------------------------- +[2640/3000] Train loss: 0.00008, Valid loss: 0.00008, Elapsed_time: 720.73850 +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 +-------------------------------------------------------------------------------- +4383 | 4383 | 0.9997 True +4295 | 4295 | 0.9994 True +-------------------------------------------------------------------------------- +[2645/3000] Train loss: 0.00008, Valid loss: 0.00008, Elapsed_time: 721.98319 +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 | 0.9997 True +9490 | 9490 | 0.9995 True +-------------------------------------------------------------------------------- +[2650/3000] Train loss: 0.00009, Valid loss: 0.00008, Elapsed_time: 723.25032 +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 +-------------------------------------------------------------------------------- +1516 | 1516 | 0.9908 True +9300 | 9300 | 0.7287 True +-------------------------------------------------------------------------------- +[2655/3000] Train loss: 0.00009, Valid loss: 0.00008, Elapsed_time: 724.51954 +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 +-------------------------------------------------------------------------------- +2345 | 2345 | 0.9989 True +5904 | 5904 | 0.9997 True +-------------------------------------------------------------------------------- +[2660/3000] Train loss: 0.00010, Valid loss: 0.00007, Elapsed_time: 726.11544 +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 +-------------------------------------------------------------------------------- +0649 | 0649 | 0.9708 True +9083 | 9083 | 0.9997 True +-------------------------------------------------------------------------------- +[2665/3000] Train loss: 0.00009, Valid loss: 0.00008, Elapsed_time: 727.41141 +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 +-------------------------------------------------------------------------------- +3929 | 3929 | 0.9998 True +0439 | 0439 | 0.9996 True +-------------------------------------------------------------------------------- +[2670/3000] Train loss: 0.00008, Valid loss: 0.00008, Elapsed_time: 728.74197 +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 +-------------------------------------------------------------------------------- +3250 | 3250 | 0.9959 True +9030 | 9030 | 0.9996 True +-------------------------------------------------------------------------------- +[2675/3000] Train loss: 0.00007, Valid loss: 0.00007, Elapsed_time: 730.01166 +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 +-------------------------------------------------------------------------------- +1155 | 1155 | 0.4900 True +5078 | 5078 | 0.9998 True +-------------------------------------------------------------------------------- +[2680/3000] Train loss: 0.00007, Valid loss: 0.00007, Elapsed_time: 731.27483 +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 +-------------------------------------------------------------------------------- +9922 | 9922 | 0.7264 True +3305 | 3305 | 0.5662 True +-------------------------------------------------------------------------------- +[2685/3000] Train loss: 0.00007, Valid loss: 0.00007, Elapsed_time: 732.52305 +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 +-------------------------------------------------------------------------------- +1195 | 1195 | 0.9713 True +4295 | 4295 | 0.9995 True +-------------------------------------------------------------------------------- +[2690/3000] Train loss: 0.00029, Valid loss: 0.00009, Elapsed_time: 734.09088 +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 +-------------------------------------------------------------------------------- +8892 | 8892 | 0.4956 True +4313 | 4313 | 0.9992 True +-------------------------------------------------------------------------------- +[2695/3000] Train loss: 0.00033, Valid loss: 0.00011, Elapsed_time: 735.44604 +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 +-------------------------------------------------------------------------------- +8811 | 8811 | 0.9181 True +0834 | 0834 | 0.9992 True +-------------------------------------------------------------------------------- +[2700/3000] Train loss: 0.00010, Valid loss: 0.00009, Elapsed_time: 736.76345 +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 +-------------------------------------------------------------------------------- +6078 | 6078 | 0.9998 True +4242 | 4242 | 0.9997 True +-------------------------------------------------------------------------------- +[2705/3000] Train loss: 0.00008, Valid loss: 0.00009, Elapsed_time: 738.07396 +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 +-------------------------------------------------------------------------------- +8811 | 8811 | 0.9230 True +9332 | 9332 | 0.9996 True +-------------------------------------------------------------------------------- +[2710/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 739.34258 +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 +-------------------------------------------------------------------------------- +3389 | 3389 | 0.8178 True +2878 | 2878 | 0.9999 True +-------------------------------------------------------------------------------- +[2715/3000] Train loss: 0.00009, Valid loss: 0.00009, Elapsed_time: 740.61011 +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 +-------------------------------------------------------------------------------- +7731 | 7731 | 0.6128 True +6591 | 6591 | 0.9999 True +-------------------------------------------------------------------------------- +[2720/3000] Train loss: 0.00007, Valid loss: 0.00008, Elapsed_time: 742.21079 +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 +-------------------------------------------------------------------------------- +5634 | 5634 | 0.9996 True +6825 | 6825 | 0.9996 True +-------------------------------------------------------------------------------- +[2725/3000] Train loss: 0.00007, Valid loss: 0.00008, Elapsed_time: 743.50008 +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 +-------------------------------------------------------------------------------- +4816 | 4816 | 0.9962 True +7654 | 7654 | 0.9931 True +-------------------------------------------------------------------------------- +[2730/3000] Train loss: 0.00008, Valid loss: 0.00011, Elapsed_time: 744.76927 +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 +-------------------------------------------------------------------------------- +3389 | 3389 | 0.8393 True +9332 | 9332 | 0.9997 True +-------------------------------------------------------------------------------- +[2735/3000] Train loss: 0.00007, Valid loss: 0.00010, Elapsed_time: 746.07588 +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 +-------------------------------------------------------------------------------- +4383 | 4383 | 0.9997 True +4318 | 4318 | 0.9998 True +-------------------------------------------------------------------------------- +[2740/3000] Train loss: 0.00006, Valid loss: 0.00008, Elapsed_time: 747.42213 +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 +-------------------------------------------------------------------------------- +0839 | 0839 | 0.9991 True +0439 | 0439 | 0.9996 True +-------------------------------------------------------------------------------- +[2745/3000] Train loss: 0.00007, Valid loss: 0.00008, Elapsed_time: 748.72482 +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 +-------------------------------------------------------------------------------- +0035 | 0035 | 0.8654 True +5827 | 5827 | 0.9997 True +-------------------------------------------------------------------------------- +[2750/3000] Train loss: 0.00010, Valid loss: 0.00008, Elapsed_time: 749.98243 +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 +-------------------------------------------------------------------------------- +1849 | 1849 | 0.9995 True +0146 | 0146 | 0.9989 True +-------------------------------------------------------------------------------- +[2755/3000] Train loss: 0.00008, Valid loss: 0.00008, Elapsed_time: 751.53296 +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 +-------------------------------------------------------------------------------- +1616 | 1616 | 0.9945 True +2070 | 2070 | 0.9998 True +-------------------------------------------------------------------------------- +[2760/3000] Train loss: 0.00007, Valid loss: 0.00007, Elapsed_time: 752.86941 +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 +-------------------------------------------------------------------------------- +9184 | 9184 | 0.9998 True +3308 | 3308 | 0.7844 True +-------------------------------------------------------------------------------- +[2765/3000] Train loss: 0.00007, Valid loss: 0.00007, Elapsed_time: 754.16667 +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 +-------------------------------------------------------------------------------- +7595 | 7595 | 0.9996 True +0604 | 0604 | 0.9583 True +-------------------------------------------------------------------------------- +[2770/3000] Train loss: 0.00006, Valid loss: 0.00008, Elapsed_time: 755.43279 +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 +-------------------------------------------------------------------------------- +9054 | 9054 | 0.9941 True +4018 | 4018 | 0.9997 True +-------------------------------------------------------------------------------- +[2775/3000] Train loss: 0.00007, Valid loss: 0.00008, Elapsed_time: 756.68079 +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 +-------------------------------------------------------------------------------- +0649 | 0649 | 0.9813 True +2981 | 2981 | 0.9998 True +-------------------------------------------------------------------------------- +[2780/3000] Train loss: 0.00007, Valid loss: 0.00008, Elapsed_time: 757.92821 +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 +-------------------------------------------------------------------------------- +6730 | 6730 | 0.9996 True +3854 | 3854 | 0.9915 True +-------------------------------------------------------------------------------- +[2785/3000] Train loss: 0.00012, Valid loss: 0.00007, Elapsed_time: 759.53359 +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 +-------------------------------------------------------------------------------- +4450 | 4450 | 0.8551 True +0839 | 0839 | 0.9992 True +-------------------------------------------------------------------------------- +[2790/3000] Train loss: 0.00006, Valid loss: 0.00008, Elapsed_time: 760.85573 +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 +-------------------------------------------------------------------------------- +7595 | 7595 | 0.9995 True +8902 | 8902 | 0.9997 True +-------------------------------------------------------------------------------- +[2795/3000] Train loss: 0.00007, Valid loss: 0.00008, Elapsed_time: 762.11557 +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 +-------------------------------------------------------------------------------- +3854 | 3854 | 0.9950 True +4374 | 4374 | 0.9994 True +-------------------------------------------------------------------------------- +[2800/3000] Train loss: 0.00006, Valid loss: 0.00007, Elapsed_time: 763.38892 +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 +-------------------------------------------------------------------------------- +5493 | 5493 | 0.9998 True +9807 | 9807 | 0.9996 True +-------------------------------------------------------------------------------- +[2805/3000] Train loss: 0.00007, Valid loss: 0.00007, Elapsed_time: 764.64133 +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 +-------------------------------------------------------------------------------- +1636 | 1636 | 0.9943 True +7744 | 7744 | 0.4796 True +-------------------------------------------------------------------------------- +[2810/3000] Train loss: 0.00008, Valid loss: 0.00007, Elapsed_time: 765.92852 +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 +-------------------------------------------------------------------------------- +8303 | 8303 | 0.9998 True +3305 | 3305 | 0.7070 True +-------------------------------------------------------------------------------- +[2815/3000] Train loss: 0.00013, Valid loss: 0.00008, Elapsed_time: 767.15443 +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 | 0.9998 True +6711 | 6711 | 0.4878 True +-------------------------------------------------------------------------------- +[2820/3000] Train loss: 0.00006, Valid loss: 0.00008, Elapsed_time: 768.78487 +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 +-------------------------------------------------------------------------------- +3305 | 3305 | 0.6996 True +6591 | 6591 | 0.9999 True +-------------------------------------------------------------------------------- +[2825/3000] Train loss: 0.00009, Valid loss: 0.00007, Elapsed_time: 770.05868 +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 +-------------------------------------------------------------------------------- +3019 | 3019 | 0.9997 True +6747 | 6747 | 0.9997 True +-------------------------------------------------------------------------------- +[2830/3000] Train loss: 0.00006, Valid loss: 0.00008, Elapsed_time: 771.32237 +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 +-------------------------------------------------------------------------------- +6323 | 6323 | 0.9999 True +4450 | 4450 | 0.9027 True +-------------------------------------------------------------------------------- +[2835/3000] Train loss: 0.00006, Valid loss: 0.00007, Elapsed_time: 772.62052 +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 +-------------------------------------------------------------------------------- +4318 | 4318 | 0.9998 True +3326 | 3326 | 0.8093 True +-------------------------------------------------------------------------------- +[2840/3000] Train loss: 0.00006, Valid loss: 0.00007, Elapsed_time: 773.90201 +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 +-------------------------------------------------------------------------------- +5912 | 5912 | 0.9996 True +0691 | 0691 | 0.9697 True +-------------------------------------------------------------------------------- +[2845/3000] Train loss: 0.00006, Valid loss: 0.00007, Elapsed_time: 775.15734 +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 +-------------------------------------------------------------------------------- +7278 | 7278 | 0.9997 True +2867 | 2867 | 0.9997 True +-------------------------------------------------------------------------------- +[2850/3000] Train loss: 0.00008, Valid loss: 0.00007, Elapsed_time: 776.75049 +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 +-------------------------------------------------------------------------------- +9332 | 9332 | 0.9997 True +7654 | 7654 | 0.9962 True +-------------------------------------------------------------------------------- +[2855/3000] Train loss: 0.00005, Valid loss: 0.00007, Elapsed_time: 778.05157 +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 +-------------------------------------------------------------------------------- +2282 | 2282 | 0.7219 True +1772 | 1772 | 0.9992 True +-------------------------------------------------------------------------------- +[2860/3000] Train loss: 0.00006, Valid loss: 0.00006, Elapsed_time: 779.35851 +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 +-------------------------------------------------------------------------------- +9589 | 9589 | 0.9997 True +2985 | 2985 | 0.9999 True +-------------------------------------------------------------------------------- +[2865/3000] Train loss: 0.00007, Valid loss: 0.00006, Elapsed_time: 780.65062 +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 | 0.9998 True +5187 | 5187 | 0.9998 True +-------------------------------------------------------------------------------- +[2870/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 781.95173 +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 +-------------------------------------------------------------------------------- +8170 | 8170 | 0.9996 True +6711 | 6711 | 0.4922 True +-------------------------------------------------------------------------------- +[2875/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 783.25539 +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 +-------------------------------------------------------------------------------- +8939 | 8939 | 0.9997 True +7731 | 7731 | 0.5362 True +-------------------------------------------------------------------------------- +[2880/3000] Train loss: 0.00013, Valid loss: 0.00006, Elapsed_time: 784.87057 +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 +-------------------------------------------------------------------------------- +6972 | 6972 | 0.9997 True +1616 | 1616 | 0.9948 True +-------------------------------------------------------------------------------- +[2885/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 786.21137 +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 +-------------------------------------------------------------------------------- +6462 | 6462 | 0.9997 True +1018 | 1018 | 0.9997 True +-------------------------------------------------------------------------------- +[2890/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 787.51006 +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 +-------------------------------------------------------------------------------- +4374 | 4374 | 0.9994 True +8902 | 8902 | 0.9997 True +-------------------------------------------------------------------------------- +[2895/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 788.79992 +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 +-------------------------------------------------------------------------------- +5708 | 5708 | 0.9998 True +2468 | 2468 | 0.9807 True +-------------------------------------------------------------------------------- +[2900/3000] Train loss: 0.00006, Valid loss: 0.00006, Elapsed_time: 790.07556 +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 +-------------------------------------------------------------------------------- +4295 | 4295 | 0.9997 True +1772 | 1772 | 0.9992 True +-------------------------------------------------------------------------------- +[2905/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 791.35623 +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 +-------------------------------------------------------------------------------- +0604 | 0604 | 0.9690 True +8170 | 8170 | 0.9996 True +-------------------------------------------------------------------------------- +[2910/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 792.64263 +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 +-------------------------------------------------------------------------------- +4432 | 4432 | 0.8931 True +2078 | 2078 | 0.9999 True +-------------------------------------------------------------------------------- +[2915/3000] Train loss: 0.00006, Valid loss: 0.00005, Elapsed_time: 794.25357 +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 +-------------------------------------------------------------------------------- +5863 | 5863 | 0.9998 True +4044 | 4044 | 0.9314 True +-------------------------------------------------------------------------------- +[2920/3000] Train loss: 0.00006, Valid loss: 0.00006, Elapsed_time: 795.52104 +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 +-------------------------------------------------------------------------------- +1667 | 1667 | 0.9995 True +1772 | 1772 | 0.9993 True +-------------------------------------------------------------------------------- +[2925/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 796.87954 +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 +-------------------------------------------------------------------------------- +8521 | 8521 | 0.9998 True +3563 | 3563 | 0.9998 True +-------------------------------------------------------------------------------- +[2930/3000] Train loss: 0.00005, Valid loss: 0.00006, Elapsed_time: 798.28740 +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 +-------------------------------------------------------------------------------- +6381 | 6381 | 0.9998 True +2886 | 2886 | 0.9997 True +-------------------------------------------------------------------------------- +[2935/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 799.66079 +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 +-------------------------------------------------------------------------------- +0691 | 0691 | 0.9742 True +3854 | 3854 | 0.9944 True +-------------------------------------------------------------------------------- +[2940/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 800.99437 +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 +-------------------------------------------------------------------------------- +2605 | 2605 | 0.9996 True +9030 | 9030 | 0.9997 True +-------------------------------------------------------------------------------- +[2945/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 802.73426 +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 +-------------------------------------------------------------------------------- +9807 | 9807 | 0.9996 True +5183 | 5183 | 0.9998 True +-------------------------------------------------------------------------------- +[2950/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 804.25373 +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 +-------------------------------------------------------------------------------- +5504 | 5504 | 0.9660 True +7893 | 7893 | 0.9996 True +-------------------------------------------------------------------------------- +[2955/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 805.55481 +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 +-------------------------------------------------------------------------------- +2078 | 2078 | 0.9999 True +9011 | 9011 | 0.9173 True +-------------------------------------------------------------------------------- +[2960/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 806.81779 +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 +-------------------------------------------------------------------------------- +4432 | 4432 | 0.8901 True +9139 | 9139 | 0.9998 True +-------------------------------------------------------------------------------- +[2965/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 808.08648 +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 +-------------------------------------------------------------------------------- +5053 | 5053 | 0.9994 True +7435 | 7435 | 0.9998 True +-------------------------------------------------------------------------------- +[2970/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 809.35951 +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 +-------------------------------------------------------------------------------- +0035 | 0035 | 0.8669 True +3305 | 3305 | 0.7164 True +-------------------------------------------------------------------------------- +[2975/3000] Train loss: 0.00006, Valid loss: 0.00005, Elapsed_time: 810.65453 +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 +-------------------------------------------------------------------------------- +3148 | 3148 | 0.9999 True +1636 | 1636 | 0.9950 True +-------------------------------------------------------------------------------- +[2980/3000] Train loss: 0.00004, Valid loss: 0.00006, Elapsed_time: 812.27088 +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 +-------------------------------------------------------------------------------- +1616 | 1616 | 0.9957 True +7747 | 7747 | 0.9438 True +-------------------------------------------------------------------------------- +[2985/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 813.56970 +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 +-------------------------------------------------------------------------------- +4786 | 4786 | 0.9997 True +8170 | 8170 | 0.9996 True +-------------------------------------------------------------------------------- +[2990/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 814.86227 +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 +-------------------------------------------------------------------------------- +2140 | 2140 | 0.9994 True +3854 | 3854 | 0.9943 True +-------------------------------------------------------------------------------- +[2995/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 816.16475 +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 +-------------------------------------------------------------------------------- +9332 | 9332 | 0.9998 True +2521 | 2521 | 0.9999 True +-------------------------------------------------------------------------------- +[3000/3000] Train loss: 0.00005, Valid loss: 0.00005, Elapsed_time: 817.40344 +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 +-------------------------------------------------------------------------------- +8902 | 8902 | 0.9997 True +6026 | 6026 | 0.9999 True +-------------------------------------------------------------------------------- diff --git a/trainer/saved_models/4digit/opt.txt b/trainer/saved_models/4digit/opt.txt new file mode 100644 index 0000000..850c833 --- /dev/null +++ b/trainer/saved_models/4digit/opt.txt @@ -0,0 +1,92 @@ +------------ Options ------------- +number: 0123456789 +experiment_name: 4digit +symbol: +lang_char: +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 +--------------------------------------- diff --git a/trainer/saved_models/en_filtered/log_dataset.txt b/trainer/saved_models/en_filtered/log_dataset.txt index 6058217..4e3949f 100644 --- a/trainer/saved_models/en_filtered/log_dataset.txt +++ b/trainer/saved_models/en_filtered/log_dataset.txt @@ -28,3 +28,133 @@ Total_batch_size: 32 = 32 dataset_root: all_data/valid dataset: / sub-directory: /. num samples: 194 -------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: train +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: train +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: train +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: ['train'] +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: ['train'] +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: ['train'] +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: ['train'] +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: train +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: train +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +dataset_root: all_data +opt.select_data: ['train'] +opt.batch_ratio: ['1'] +-------------------------------------------------------------------------------- +dataset_root: all_data dataset: train +sub-directory: /4digit_train num samples: 1000 +num total samples of train: 1000 x 1.0 (total_data_usage_ratio) = 1000 +num samples of train per batch: 32 x 1.0 (batch_ratio) = 32 +-------------------------------------------------------------------------------- +Total_batch_size: 32 = 32 +-------------------------------------------------------------------------------- diff --git a/trainer/train.py b/trainer/train.py index d3e468b..33de589 100644 --- a/trainer/train.py +++ b/trainer/train.py @@ -44,6 +44,7 @@ def train(opt, show_number = 2, amp=False): log = open(f'./saved_models/{opt.experiment_name}/log_dataset.txt', 'a', encoding="utf8") AlignCollate_valid = AlignCollate(imgH=opt.imgH, imgW=opt.imgW, keep_ratio_with_pad=opt.PAD, contrast_adjust=opt.contrast_adjust) + print(f"opt.valid_data : {opt.valid_data}") valid_dataset, valid_dataset_log = hierarchical_dataset(root=opt.valid_data, opt=opt) valid_loader = torch.utils.data.DataLoader( @@ -68,7 +69,7 @@ def train(opt, show_number = 2, amp=False): model = Model(opt) print('model input parameters', opt.imgH, opt.imgW, opt.num_fiducial, opt.input_channel, opt.output_channel, opt.hidden_size, opt.num_class, opt.batch_max_length, opt.Transformation, opt.FeatureExtraction, - opt.SequenceModeling, opt.Prediction, opt.saved_model) + opt.SequenceModeling, opt.Prediction) if opt.saved_model != '': pretrained_dict = torch.load(opt.saved_model) diff --git a/trainer/trainer.py b/trainer/trainer.py index ef1d414..6db9acc 100644 --- a/trainer/trainer.py +++ b/trainer/trainer.py @@ -10,11 +10,14 @@ 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': + + 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', usecols=['filename', 'words'], keep_default_na=False) + 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)) @@ -26,6 +29,6 @@ def get_config(file_path): if __name__ == "__main__": # Load configuration - # opt = get_config("config_files/4digit_config.yaml") - opt = get_config("config_files/en_filtered_config.yaml") + # opt = get_config("config_files/en_filtered_config.yaml") + opt = get_config("config_files/4digit_config.yaml") train(opt, amp=False) \ No newline at end of file