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[run_ner] Don't crash if fine-tuning local model that doesn't end with digit
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@ -160,7 +160,10 @@ def train(args, train_dataset, model, tokenizer, labels, pad_token_label_id):
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# Check if continuing training from a checkpoint
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if os.path.exists(args.model_name_or_path):
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# set global_step to gobal_step of last saved checkpoint from model path
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global_step = int(args.model_name_or_path.split("-")[-1].split("/")[0])
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try:
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global_step = int(args.model_name_or_path.split("-")[-1].split("/")[0])
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except ValueError:
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global_step = 0
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epochs_trained = global_step // (len(train_dataloader) // args.gradient_accumulation_steps)
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steps_trained_in_current_epoch = global_step % (len(train_dataloader) // args.gradient_accumulation_steps)
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