Comments (3)
from textrl.
i have the same question
from textrl.
It is a issue related to the mismatch of distribution, i change it to categorial back.
Also, we should return reward on every sample on ranking stage.
All the issue should be fixed right now. I will try to add testing in the project.
(應該是distribution的shape不對導致的,我重新修改這部分的code,現在應該正常了。
from textrl.
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
- Are there any examples for T5 or Bart? Why T5 and bart give the same output before/after training? HOT 2
- 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
- unfreeze_layer_from_past parameter HOT 4
- Problems in the inference process
- Fix Reward Calculation in `example/2022-12-10-textrl-elon-musk.ipynb` HOT 1
- AttributeError: 'MyRLEnv' object has no attribute 'num_envs' HOT 2
- AttributeError: module 'numpy' has no attribute '_no_nep50_warning' HOT 1
- It needs a license HOT 1
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from textrl.