Comments (3)
Could you send an email to Ce Zhang [email protected] and cc me? Maybe you can say you worked an extension of sotopia, which was supported by Together.AI, and now trying to use their fine-tuning API. Please also attach a simple code snippet to reproduce the bug?
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Sure. @ruiyiw works on #18 and we have confirmed that the finetuning is working now (see results in the PR #15 ) but only some tiny points are uncertain for now.
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![Screenshot 2023-10-10 at 7 01 53 PM](https://private-user-images.githubusercontent.com/76935534/274092138-10331769-3e33-4cc1-b492-6e99328c1011.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.QoGdoho8_rWHHC6ebBrVImcv3JE9ev_nckgP6SBUi5Q)
Looks like Together AI has fixed the learning rate issue.
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Related Issues (20)
- [BUG]: Fix and replace the uncleaned "Agent1" and "Agent2" appeared in the scenario and social goal
- [FEAT]: Build human evaluation pipeline HOT 1
- [BUG]: Data Directory deleted from /llm_ft
- [FEAT]: Create new scenarios based on new inspirational prompts
- [FEAT]: Implement Automated Self-Training Pipeline HOT 1
- [FEAT]: Self-Train Pipeline Backbone
- [FEAT]: Intermediate saves of checkpoints in sft trainer
- [FEAT]: Automated uploading to gcp storage
- [FEAT]: Self-Train Pipeline on Babel HOT 1
- [FEAT]: adding gcloud utils for upload, download, and check metadata
- [FEAT]: Training Pipeline with Improve Steps
- [FEAT]: Modularize codebase for self-training
- [FEAT]: Save full model during training
- [FEAT]: Changes to custom callbacks to accomodate fastchat deploy
- [FEAT]: Add Monitor to Eval Step Results HOT 1
- [FEAT]: Launch a human evaluation report based on Prolific HOT 2
- [FEAT]: Add interactive demo
- [FEAT]: Add jupyter notebook demo HOT 2
- [BUG]: Behavior cloning can not be reproduced
- [BUG]: Questions about the size of the dataset.
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