Model save
Browse files- README.md +16 -16
- 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 +479 -479
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
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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: -
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- Rewards/rejected: -
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- Rewards/accuracies: 0.
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- Rewards/margins:
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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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## 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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- Transformers 4.35.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.
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- Tokenizers 0.14.1
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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: 0.4276
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- Rewards/chosen: -0.5735
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- Rewards/rejected: -2.0942
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- Rewards/accuracies: 0.7031
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- Rewards/margins: 1.5207
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- Logps/rejected: -466.7732
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- Logps/chosen: -314.3910
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- Logits/rejected: -2.1887
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- Logits/chosen: -2.2631
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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 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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| 0.4633 | 0.21 | 100 | 0.4652 | 0.0851 | -0.1487 | 0.7031 | 0.2338 | -272.2198 | -248.5258 | -2.7842 | -2.7997 |
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| 0.4346 | 0.42 | 200 | 0.4392 | -0.4511 | -1.4431 | 0.7188 | 0.9920 | -401.6668 | -302.1487 | -2.4410 | -2.4793 |
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| 0.4312 | 0.63 | 300 | 0.4311 | -0.7178 | -2.2532 | 0.7148 | 1.5354 | -482.6770 | -328.8193 | -2.2068 | -2.2801 |
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| 0.4292 | 0.84 | 400 | 0.4276 | -0.5735 | -2.0942 | 0.7031 | 1.5207 | -466.7732 | -314.3910 | -2.1887 | -2.2631 |
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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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