Model save
Browse files- README.md +14 -14
- all_results.json +3 -3
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +3 -3
- trainer_state.json +473 -473
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: 0.
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- Rewards/chosen: -1.
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- Rewards/rejected: -2.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -
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- Logits/chosen: -2.
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## Model description
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed:
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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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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### Framework versions
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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: 0.0229
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- Rewards/chosen: -1.4736
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- Rewards/rejected: -2.2201
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- Rewards/accuracies: 0.7148
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- Rewards/margins: 0.7465
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- Logps/rejected: -479.3624
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- Logps/chosen: -404.4032
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- Logits/rejected: -2.3938
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- Logits/chosen: -2.4072
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## Model description
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 4
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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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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| 0.0486 | 0.21 | 100 | 0.0431 | -0.6721 | -1.0349 | 0.6875 | 0.3629 | -360.8449 | -324.2452 | -2.7173 | -2.7326 |
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| 0.027 | 0.42 | 200 | 0.0297 | -1.0958 | -1.6844 | 0.6953 | 0.5886 | -425.7964 | -366.6208 | -2.4958 | -2.5091 |
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| 0.0267 | 0.63 | 300 | 0.0287 | -1.1018 | -1.7154 | 0.7344 | 0.6136 | -428.8893 | -367.2200 | -2.4587 | -2.4719 |
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| 0.0208 | 0.84 | 400 | 0.0229 | -1.4736 | -2.2201 | 0.7148 | 0.7465 | -479.3624 | -404.4032 | -2.3938 | -2.4072 |
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### Framework versions
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all_results.json
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