Create Entrenamiento
Browse files- Entrenamiento +21 -0
Entrenamiento
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from transformers import AutoModelForCausalLM, TrainingArguments, Trainer
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model = AutoModelForCausalLM.from_pretrained("Isotonic/gpt-human-assistant")
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training_args = TrainingArguments(
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output_dir="./results",
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evaluation_strategy="epoch",
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learning_rate=2e-5,
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per_device_train_batch_size=8,
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num_train_epochs=3,
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save_total_limit=2,
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)
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trainer = Trainer(
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model=model,
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args=training_args,
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train_dataset=tokenized_datasets["train"],
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eval_dataset=tokenized_datasets["test"],
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)
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trainer.train()
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