Comments (9)
@MT010104 @parshinsh @doviettung96 @boblee22 @odellus We released the latest model checkpoint of CodeT5 finetuned using the CodeRL framework here.
Thank you for your patience.
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Yeah. I have the same concern. Thanks.
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Especially interested in the critic weights as well.
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@henryhungle Thanks for the great work! Is there any update on the code of CodeRL fine-tuning?
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Sorry for the late response!
We recently released the critic weights and related training/inference processes.
We will release the other model checkpoints soon! Will update again.
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@henryhungle Thanks for the great work! any update on the finetuned model checkpoints?
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@henryhungle Any update on the finetuned model checkpoints?
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@henryhungle Thank you very much.
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@qfzhu please refer to the discussion in #13
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Related Issues (20)
- exception of run_unit_tests.sh HOT 1
- Sample Temperature HOT 1
- problem about run_unit_tests.sh
- Datasets for train_actor_rl.sh HOT 11
- Performance Results on HumanEval HOT 1
- RL with execution-based reward HOT 2
- CodeT5 input for APPS/MBPP problems HOT 1
- Question about the input of the critic model HOT 1
- what is the super-parameters for RL training HOT 2
- Problems in reproducing the RL fine-tuned results HOT 8
- Question about the max-pooling operation. HOT 2
- Critic training problem: Category imbalance in data
- documentation request for test_one_solution.py
- Any updates on Generating Programs with Critic Sampling?
- Critic Training pre-processing steps HOT 3
- problems in the critic model results
- How to generate Critic Scores that can mimic a reward model
- When will you release the implementation details of your critic sampling procedure please?
- How to arrange the file ‘models’???
- start_idx variable not defined in extract_example_test.ipynb HOT 1
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