Comments (1)
Your opinion is correct. Thanks for pointing it out.
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Related Issues (13)
- Unexpected key(s) in state_dict: "context_model.embeddings.position_ids", "speaker_model.embeddings.position_ids" HOT 3
- Can I use this work for sentiment analysis of dyadic conversations? HOT 1
- pytorch-cuda version for the source code? HOT 2
- Can I ignore this warning? UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. HOT 1
- Why don't put batch_speaker_token on cuda? HOT 1
- I wonder if the model works fine when batch is not 1? HOT 5
- Google Drive link not found HOT 3
- A question about comparison experiment, why didn't you compare with CESTa on dailydialog dataset? HOT 3
- "MELD_models/roberta-large/pretrained/no_freeze/emotion/1.0/model.bin" . It doesn't have mobel.bin file. HOT 2
- reproduce your work on MELD dataset, the weight F1 score is 66.52 HOT 2
- UnboundLocalError: local variable 'DATA_loader' referenced before assignment HOT 1
- RoBERTa large max input token size issue HOT 2
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