Added epochs
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@ -9,7 +9,7 @@ import Project_Model.Libs.Transformer as Transformer
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import Project_Model.Libs.TransformerUtils as TUtils
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import Project_Model.Libs.TransformerUtils as TUtils
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import Project_Model.Libs.TorchShims as torch_shims
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import Project_Model.Libs.TorchShims as torch_shims
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import Project_Model.Libs.Batch as Batch
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import Project_Model.Libs.Batch as Batch
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from Project_Model.Libs.Training.loss_saver import Log
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from Project_Model.Libs.Training.loss_saver import Log
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# set a fixed seed
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# set a fixed seed
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torch.manual_seed(0)
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torch.manual_seed(0)
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@ -419,8 +419,8 @@ while current_epoch < MAX_EPOCHS:
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except:
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except:
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pass
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pass
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# write on log
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# write on log
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loss_saver.write([txt_train_avg_loss,enc_avg_train_loss,dec_avg_train_loss,txt_avg_loss,enc_avg_loss,dec_avg_loss])
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loss_saver.write([current_epoch, txt_train_avg_loss,enc_avg_train_loss,dec_avg_train_loss,txt_avg_loss,enc_avg_loss,dec_avg_loss])
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SEPARATOR = "================================================================================================================"
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SEPARATOR = "================================================================================================================"
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DEBUG_TEXT = "".join(
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DEBUG_TEXT = "".join(
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[
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[
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@ -3,8 +3,8 @@ import os
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class Log:
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class Log:
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def __init__(self, path):
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def __init__(self, path):
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self.path = path
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self.path = path
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header = ["avg_txt","avg_enc","avg_dec","txt_loss","masking_loss","prediction_loss"]
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header = ["epoch","avg_txt","avg_enc","avg_dec","txt_loss","masking_loss","prediction_loss"]
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with open(self.path, "w", encoding="utf-8", newline="") as f:
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with open(self.path, "w", encoding="utf-8", newline="") as f:
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f.write(",".join(header) + "\n")
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f.write(",".join(header) + "\n")
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