Model save
Browse files- README.md +17 -20
- all_results.json +4 -4
- generation_config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +479 -685
README.md
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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:
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- Rewards/chosen:
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- Rewards/rejected:
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -2.
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- Logits/chosen: -2.
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- Debug/policy Weights: 0.2815
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- Debug/losses: 0.1397
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- Debug/raw Losses: 0.4727
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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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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.
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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: 239.1993
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- Rewards/chosen: 0.3530
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- Rewards/rejected: 0.3216
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- Rewards/accuracies: 0.5625
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- Rewards/margins: 0.0314
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- Logps/rejected: -225.1900
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- Logps/chosen: -221.7349
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- Logits/rejected: -2.6730
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- Logits/chosen: -2.6975
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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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| 256.7688 | 0.21 | 100 | 245.7276 | 0.2947 | 0.2688 | 0.5742 | 0.0259 | -230.4730 | -227.5649 | -2.7670 | -2.7863 |
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| 239.4804 | 0.42 | 200 | 241.5078 | 0.3319 | 0.3036 | 0.5742 | 0.0283 | -226.9933 | -223.8462 | -2.7082 | -2.7290 |
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| 240.5041 | 0.63 | 300 | 239.8053 | 0.3474 | 0.3163 | 0.5625 | 0.0310 | -225.7186 | -222.3044 | -2.6807 | -2.7042 |
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| 236.8453 | 0.84 | 400 | 239.1993 | 0.3530 | 0.3216 | 0.5625 | 0.0314 | -225.1900 | -221.7349 | -2.6730 | -2.6975 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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all_results.json
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generation_config.json
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