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model_adaptation
ai-agents-model-adaptation-using-mt5encodermodel-or-t5encodermodel-with-huggi-e26b303b
IFUsing MT5EncoderModel or T5EncoderModel with Hugging Face Trainer and providing 'labels' keyword argument results in TypeError because these base models do not have a classification head and do not accept 'labels'.
THENCreate a custom module that wraps the encoder model (e.g., MT5EncoderModel) with a sequence classification head. In the forward method, accept 'labels', compute logits, calculate loss using cross-entropy, and return the loss and logits. This mirrors how BertForSequenceClassification is implemented.
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