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--- |
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license: mit |
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base_model: HuggingFaceH4/mistral-7b-sft-beta |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-lora |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# zephyr-7b-dpo-lora |
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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: 0.3553 |
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- Rewards/chosen: -0.8622 |
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- Rewards/rejected: -3.1235 |
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- Rewards/accuracies: 0.8281 |
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- Rewards/margins: 2.2613 |
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- Logps/rejected: -204.2707 |
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- Logps/chosen: -282.4587 |
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- Logits/rejected: -2.6699 |
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- Logits/chosen: -2.7156 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3.0 |
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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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| 0.2024 | 1.0 | 485 | 0.4197 | -0.3974 | -1.8930 | 0.8086 | 1.4956 | -191.9660 | -277.8107 | -2.7272 | -2.7680 | |
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| 0.1305 | 2.0 | 970 | 0.3694 | -0.7584 | -2.8597 | 0.8242 | 2.1013 | -201.6330 | -281.4208 | -2.6866 | -2.7306 | |
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| 0.109 | 3.0 | 1455 | 0.3553 | -0.8622 | -3.1235 | 0.8281 | 2.2613 | -204.2707 | -282.4587 | -2.6699 | -2.7156 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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