Comments (2)
Just replaced the BERT with Roformer config and it worked. Had an additional Position Embedding that messed with the training in the first place!
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have you tried on the baselines? How's the results?
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Related Issues (20)
- Issues with decoding and evaluation HOT 2
- Padding during training results in a "Killed"
- BERT parameter
- Try to train the model with another dataset, but get so many [UNK] token.
- a few questions about the 'MBR' decoding strategy. HOT 2
- Version of many packages
- Incorrect self-BLEU Computation
- a question about --local_rank
- Could not find a version that satisfies the requirement torch==1.9.0+cu111
- i face some promble Dataset(2) in "text_datasets.py" HOT 1
- If there is any rule to modify the parameters HOT 1
- Machine Translation Task with DiffuSeq HOT 6
- A question about the loss in V2
- Implementation of using soft absorbing state in the forward process in training. HOT 1
- ddim sampling HOT 2
- DDPM HOT 1
- train
- Where is CommonsenseConversation/test.jsonl ? When I run train. sh and then run run_decode_solver. sh or run_decode. sh, I always can't find test.jsonl HOT 2
- 'grad_norm' is NaN
- Understanding tT_loss
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