Zero Accuracy in Trainer

[init1mhd]

i have this config file : number: '0123456789' symbol: " !\"$%&'()*+,-./:;<=>?@[]\_`{}|~©°—‘’“”" lang_char: 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz' experiment_name: 'en_filtered5' train_data: 'all_data' valid_data: 'all_data/' manualSeed: 1111 workers: 6 batch_size: 32 num_iter: 100 valInterval: 4 saved_model: '' # saved_models/en_filtered/iter_300000.pth FT: False optim: adam # default is Adadelta lr: 1.0 beta1: 0.9 rho: 0.95 eps: 1e-8 grad_clip: 5 select_data: '' # this is dataset folder in train_data batch_ratio: '1' total_data_usage_ratio: 1.0 batch_max_length: 20 imgH: 64 imgW: 600 rgb: False contrast_adjust: False sensitive: True PAD: True contrast_adjust: 0.0 data_filtering_off: False Transformation: 'None' FeatureExtraction: 'VGG' SequenceModeling: 'BiLSTM' Prediction: 'CTC' num_fiducial: 20 input_channel: 1 output_channel: 256 hidden_size: 256 decode: 'greedy' new_prediction: False freeze_FeatureExtraction: False freeze_SequenceModeling: False but i have zero accuracy :

[100/100] Train loss: nan, Valid loss: nan, Elapsed_time: 00:02:50 Current_accuracy : 0.440, Current_norm_ED : 0.0000 Best_accuracy : 0.440, Best_norm_ED : 0.0119

Ground Truth | Prediction | Confidence Score & T/F

of | | nan False Within | | nan False

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Ground Truth | Prediction | Confidence Score & T/F

of | | nan False Within | | nan False

why ???