deepspeedai / deepspeedai/DeepSpeedExamples

Evaluation Loader for DeepSpeed Chat Example step 2 (reward model training)

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deespeed chat modeling
Dominant language
Python
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Description

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Open applications/DeepSpeed-Chat/training/step2_reward_model_finetuning/main.py at the linked commit and inspect around line 236, comparing that line with the earlier eval_sampler initialization. Confirm whether the duplicate evaluation-loader setup is unnecessary, then run the relevant step 2 reward-model training checks to verify evaluation still works.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Refactor
Difficulty
1/5
Estimated time
Under an hour
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
45/100

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