Comments (4)
barthelemymp
commented on June 15, 2024
I observed the same thing, I also tried penalizing the fact of generating the '_' token directly in the reward function. Unfortunately, it does not seems to learn how to stop generating the blank token...
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voidful
commented on June 15, 2024
Hi all, the issue probably cause by https://github.com/huggingface/transformers/blob/bffac926ca6bc6c965a92bfbfd00c567a2c0fb90/src/transformers/models/t5/modeling_t5.py#L1147C8-L1147C8
it will add a position_bias after each layer output, so the initialize model will perform badly
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Related Issues (20)
- Backward compatibility HOT 2
- About the compare_sample HOT 1
- i get error when i use elon example HOT 6
- Text generation models generating repeated/duplicate text/sentences. HOT 3
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- Support for AutoModelForSeq2SeqLM HOT 2
- Update interval HOT 3
- Documentation on Methodology HOT 1
- Support for other PFRL Algorithms HOT 2
- Text generation after period/full-stop (".")
- ValueError: Expected parameter logits HOT 5
- Reward policy agent environment is not training with Finetuned model HOT 1
- Does the package support automatic multi-gpu? HOT 2
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- Could you give some examples to run the code? HOT 3
- AttributeError: 'MyRLEnv' object has no attribute 'num_envs' HOT 2
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