Changes
1 changed files (+3/-3)
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@@ -2,7 +2,7 @@ from argparse import ArgumentParserfrom itertools import chain from datasets import load_dataset from transformers import AutoTokenizer, AutoModelForCausalLM, Trainer, default_data_collator from transformers import AutoTokenizer, AutoModelForCausalLM, Trainer, TrainingArguments, default_data_collator parser = ArgumentParser()
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@@ -44,6 +44,6 @@ lm_dataset = tokenized_dataset.map(group_texts, batched=True)# Create and train the model model = AutoModelForCausalLM.from_pretrained('distilgpt2') trainer = Trainer(model=model, train_dataset=lm_dataset['train'], tokenizer=tokenizer, data_collator=default_data_collator) trainer = Trainer(model, TrainingArguments(output_dir=args.output), default_data_collator, lm_dataset['train']) trainer.train() trainer.save_model(args.output) trainer.save_model()
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