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--- |
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license: apache-2.0 |
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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: TheBloke/OpenHermes-2-Mistral-7B-GPTQ |
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model-index: |
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- name: openhermes-mistral-dpo-gptq |
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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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# openhermes-mistral-dpo-gptq |
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This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6282 |
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- Rewards/chosen: 0.0648 |
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- Rewards/rejected: -0.1682 |
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- Rewards/accuracies: 0.5625 |
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- Rewards/margins: 0.2330 |
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- Logps/rejected: -449.7376 |
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- Logps/chosen: -595.4427 |
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- Logits/rejected: -1.8275 |
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- Logits/chosen: -1.7465 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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_steps: 2 |
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- training_steps: 50 |
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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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| 0.6839 | 0.01 | 10 | 0.6418 | 0.1941 | 0.0444 | 0.5625 | 0.1498 | -447.6118 | -594.1498 | -1.8467 | -1.7399 | |
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| 0.7038 | 0.01 | 20 | 0.6286 | 0.2428 | 0.0265 | 0.5625 | 0.2162 | -447.7904 | -593.6635 | -1.8468 | -1.7509 | |
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| 0.6388 | 0.01 | 30 | 0.6218 | 0.2294 | -0.0446 | 0.625 | 0.2741 | -448.5019 | -593.7968 | -1.8401 | -1.7519 | |
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| 0.648 | 0.02 | 40 | 0.6218 | 0.1284 | -0.1299 | 0.625 | 0.2582 | -449.3542 | -594.8075 | -1.8332 | -1.7487 | |
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| 0.673 | 0.03 | 50 | 0.6282 | 0.0648 | -0.1682 | 0.5625 | 0.2330 | -449.7376 | -595.4427 | -1.8275 | -1.7465 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.1 |
