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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: 0.1422 |
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- Rewards/chosen: -1.3154 |
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- Rewards/rejected: -2.2768 |
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- Rewards/accuracies: 0.7617 |
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- Rewards/margins: 0.9613 |
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- Logps/rejected: -483.9327 |
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- Logps/chosen: -386.7366 |
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- Logits/rejected: -2.1695 |
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- Logits/chosen: -2.2036 |
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- Debug/policy Weights: 0.2815 |
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- Debug/losses: 0.1397 |
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- Debug/raw Losses: 0.4727 |
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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 | Debug/policy Weights | Debug/losses | Debug/raw Losses | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------------------:|:------------:|:----------------:| |
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| 0.1781 | 0.21 | 100 | 0.2007 | -0.6478 | -1.1693 | 0.7344 | 0.5214 | -373.1867 | -319.9806 | -2.6910 | -2.7080 | 0.3512 | 0.1953 | 0.5590 | |
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| 0.1616 | 0.42 | 200 | 0.1669 | -0.8830 | -1.6003 | 0.7109 | 0.7173 | -416.2844 | -343.4914 | -2.4277 | -2.4499 | 0.3174 | 0.1671 | 0.5079 | |
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| 0.1343 | 0.63 | 300 | 0.1368 | -1.5021 | -2.3715 | 0.7578 | 0.8695 | -493.4114 | -405.4042 | -2.2283 | -2.2618 | 0.2666 | 0.1365 | 0.4953 | |
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| 0.1398 | 0.84 | 400 | 0.1422 | -1.3154 | -2.2768 | 0.7617 | 0.9613 | -483.9327 | -386.7366 | -2.1695 | -2.2036 | 0.2815 | 0.1397 | 0.4727 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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