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--- |
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license: mit |
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library_name: peft |
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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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base_model: HuggingFaceH4/zephyr-7b-beta |
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model-index: |
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- name: WeniGPT-2.6.1-Zephyr-7B-0.3-reduction-QA-1.0.1_DPO |
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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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# WeniGPT-2.6.1-Zephyr-7B-0.3-reduction-QA-1.0.1_DPO |
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6539 |
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- Rewards/chosen: 0.9200 |
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- Rewards/rejected: -1.4403 |
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- Rewards/accuracies: 0.0562 |
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- Rewards/margins: 2.3603 |
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- Logps/rejected: -10.8805 |
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- Logps/chosen: -5.1910 |
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- Logits/rejected: -2.3586 |
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- Logits/chosen: -2.3589 |
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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: 0.0005 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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- training_steps: 89 |
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- mixed_precision_training: Native AMP |
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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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| 4.3155 | 0.56 | 50 | 0.7680 | -0.3150 | -1.9142 | 0.0500 | 1.5992 | -11.3544 | -6.4260 | -2.2698 | -2.2706 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
