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I use LORA to train the NER task, use crf for decoding, after saving adapter and head, the output dimension obtained by model.load_adapter() method when the model is called is 768, only after adding model.load_adapter() to model.load_head() to get the correct output dimension (equal to the number of tags in my category)
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I use LORA to train the NER task, use crf for decoding, after saving adapter and head, the output dimension obtained by model.load_adapter() method when the model is called is 768, only after adding model.load_adapter() to model.load_head() to get the correct output dimension (equal to the number of tags in my category)
The text was updated successfully, but these errors were encountered: