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hft.py
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hft.py
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@ -178,7 +178,6 @@ training_args = TrainingArguments(
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save_steps=1000,
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report_to="none",
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gradient_checkpointing=True,
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evaluation_strategy="epoch", # częstotliwość oceny
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per_device_train_batch_size=8, # batch size dla treningu
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per_device_eval_batch_size=8, # batch size dla ewaluacji
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logging_dir='./logs' # folder do logów
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