Model save
Browse files- README.md +16 -0
- all_results.json +5 -5
- config.json +1 -2
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- tokenizer.json +0 -1
- tokenizer_config.json +0 -2
- train_results.json +5 -5
- trainer_state.json +616 -454
- training_args.bin +2 -2
README.md
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# zephyr-7b-dpo-full
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
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## Model description
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### Training results
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### Framework versions
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# zephyr-7b-dpo-full
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0194
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- Rewards/chosen: -1.8199
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- Rewards/rejected: -2.5238
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- Rewards/accuracies: 0.7031
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- Rewards/margins: 0.7039
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- Logps/rejected: -509.7351
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- Logps/chosen: -439.0294
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- Logits/rejected: -2.2378
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- Logits/chosen: -2.2625
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.0502 | 0.21 | 100 | 0.0391 | -0.7692 | -1.1939 | 0.6914 | 0.4246 | -376.7401 | -333.9633 | -2.7065 | -2.7235 |
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| 0.0237 | 0.42 | 200 | 0.0268 | -1.2426 | -1.8386 | 0.6680 | 0.5960 | -441.2099 | -381.2964 | -2.4965 | -2.5105 |
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| 0.0248 | 0.63 | 300 | 0.0254 | -1.3833 | -2.0353 | 0.6914 | 0.6521 | -460.8870 | -395.3680 | -2.3196 | -2.3397 |
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| 0.0194 | 0.84 | 400 | 0.0194 | -1.8199 | -2.5238 | 0.7031 | 0.7039 | -509.7351 | -439.0294 | -2.2378 | -2.2625 |
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### Framework versions
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all_results.json
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config.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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size 5944
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