4digit_training done

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.

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'