Update tokenizer_utils.py
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@ -1140,7 +1140,7 @@ def fix_zero_training_loss(model, tokenizer, train_dataset):
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if seen_bad / (seen_bad + seen_good) >= 0.9:
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logger.warning(
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"Unsloth: Most labels in your dataset are -100. Training losses will be 0.\n"\
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"Are you usre you used `train_on_responses_only` correctly?\n"\
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"For example, are you sure you used `train_on_responses_only` correctly?\n"\
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"Or did you mask our tokens incorrectly? Maybe this is intended?"
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)
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pass
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