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: 0.2130
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- Rewards/chosen: -0.8895
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- Rewards/rejected: -1.4961
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- Rewards/accuracies: 0.7070
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- Rewards/margins: 0.6066
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- Logps/rejected: -406.9670
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- Logps/chosen: -345.9897
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- Logits/rejected: -2.3161
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- Logits/chosen: -2.3381
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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 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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| 0.2738 | 0.21 | 100 | 0.2945 | -0.3021 | -0.6399 | 0.7148 | 0.3378 | -321.3399 | -287.2470 | -2.6731 | -2.6882 |
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| 0.1875 | 0.42 | 200 | 0.2041 | -0.9537 | -1.4882 | 0.7227 | 0.5345 | -406.1715 | -352.4083 | -2.3390 | -2.3602 |
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| 0.2103 | 0.63 | 300 | 0.2195 | -0.8401 | -1.4223 | 0.7070 | 0.5822 | -399.5840 | -341.0494 | -2.3533 | -2.3750 |
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| 0.2051 | 0.84 | 400 | 0.2130 | -0.8895 | -1.4961 | 0.7070 | 0.6066 | -406.9670 | -345.9897 | -2.3161 | -2.3381 |
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### Framework versions
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all_results.json
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