Model save
Browse files- README.md +17 -1
- all_results.json +5 -5
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +615 -453
- training_args.bin +1 -1
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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- 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 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: 0.0680
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- Rewards/chosen: -1.6802
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- Rewards/rejected: -2.4505
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- Rewards/accuracies: 0.7109
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- Rewards/margins: 0.7703
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- Logps/rejected: -502.4064
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- Logps/chosen: -425.0607
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- Logits/rejected: -2.2693
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- Logits/chosen: -2.2870
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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: 1
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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 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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| 0.1201 | 0.21 | 100 | 0.1358 | -0.5060 | -0.9026 | 0.6992 | 0.3966 | -347.6168 | -307.6421 | -2.7272 | -2.7404 |
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| 0.0885 | 0.42 | 200 | 0.0939 | -0.9340 | -1.6072 | 0.7383 | 0.6732 | -418.0752 | -350.4443 | -2.5184 | -2.5309 |
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| 0.0652 | 0.63 | 300 | 0.0711 | -1.5440 | -2.2912 | 0.7266 | 0.7471 | -486.4697 | -411.4413 | -2.3324 | -2.3504 |
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| 0.0725 | 0.84 | 400 | 0.0680 | -1.6802 | -2.4505 | 0.7109 | 0.7703 | -502.4064 | -425.0607 | -2.2693 | -2.2870 |
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### Framework versions
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all_results.json
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