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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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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-full |
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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-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: 0.5440 |
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- Rewards/chosen: -2.2940 |
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- Rewards/rejected: -3.0054 |
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- Rewards/accuracies: 0.7090 |
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- Rewards/margins: 0.7114 |
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- Logps/rejected: -451.6765 |
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- Logps/chosen: -373.9785 |
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- Logits/rejected: 0.3244 |
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- Logits/chosen: 0.0742 |
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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: 5e-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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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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| 0.6789 | 0.08 | 100 | 0.6770 | -0.1062 | -0.1422 | 0.5914 | 0.0360 | -165.3552 | -155.1927 | -2.7255 | -2.7337 | |
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| 0.6062 | 0.16 | 200 | 0.6079 | -1.0212 | -1.3873 | 0.6670 | 0.3660 | -289.8622 | -246.6971 | -2.3696 | -2.3856 | |
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| 0.5965 | 0.24 | 300 | 0.5907 | -1.3779 | -1.8008 | 0.6623 | 0.4229 | -331.2100 | -282.3621 | -2.2450 | -2.2656 | |
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| 0.5729 | 0.32 | 400 | 0.5711 | -1.6763 | -2.2404 | 0.6828 | 0.5640 | -375.1720 | -312.2064 | -1.2920 | -1.3760 | |
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| 0.5645 | 0.4 | 500 | 0.5639 | -2.0721 | -2.6869 | 0.6987 | 0.6147 | -419.8194 | -351.7883 | -0.6091 | -0.7860 | |
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| 0.5513 | 0.48 | 600 | 0.5582 | -2.9237 | -3.5389 | 0.7108 | 0.6152 | -505.0223 | -436.9386 | 0.1224 | -0.1054 | |
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| 0.5571 | 0.56 | 700 | 0.5559 | -2.7971 | -3.5456 | 0.7043 | 0.7485 | -505.6961 | -424.2823 | 0.2980 | 0.0356 | |
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| 0.5609 | 0.64 | 800 | 0.5469 | -2.4314 | -3.0831 | 0.7108 | 0.6517 | -459.4439 | -387.7092 | 0.1922 | -0.0312 | |
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| 0.5514 | 0.72 | 900 | 0.5474 | -2.4774 | -3.2082 | 0.6996 | 0.7308 | -471.9533 | -392.3096 | 0.5382 | 0.2860 | |
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| 0.527 | 0.8 | 1000 | 0.5454 | -2.5040 | -3.2071 | 0.7080 | 0.7031 | -471.8454 | -394.9711 | 0.6372 | 0.3871 | |
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| 0.5487 | 0.88 | 1100 | 0.5444 | -2.2851 | -2.9963 | 0.7090 | 0.7112 | -450.7599 | -373.0831 | 0.4336 | 0.1858 | |
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| 0.5483 | 0.96 | 1200 | 0.5440 | -2.2940 | -3.0054 | 0.7090 | 0.7114 | -451.6765 | -373.9785 | 0.3244 | 0.0742 | |
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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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