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--- |
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license: apache-2.0 |
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base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ |
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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: mistral-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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# mistral-dpo |
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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: 0.0012 |
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- Rewards/chosen: 23.3318 |
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- Rewards/rejected: -6.7489 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 30.0806 |
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- Logps/rejected: -87.3513 |
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- Logps/chosen: -337.4500 |
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- Logits/rejected: -1.2781 |
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- Logits/chosen: -1.6769 |
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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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| 0.5937 | 0.01 | 10 | 0.3601 | 0.7833 | -0.3607 | 0.9904 | 1.1441 | -23.4698 | -562.9344 | -1.1371 | -1.4401 | |
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| 0.0908 | 0.02 | 20 | 1.1245 | 8.8420 | -2.7352 | 0.9615 | 11.5772 | -47.2141 | -482.3473 | -1.1942 | -1.5504 | |
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| 0.0683 | 0.03 | 30 | 0.2541 | 17.6490 | -4.7403 | 0.9904 | 22.3893 | -67.2654 | -394.2778 | -1.2341 | -1.6426 | |
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| 0.0009 | 0.04 | 40 | 0.0015 | 22.5664 | -5.9863 | 1.0 | 28.5527 | -79.7251 | -345.1035 | -1.2763 | -1.6781 | |
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| 0.0003 | 0.05 | 50 | 0.0012 | 23.3318 | -6.7489 | 1.0 | 30.0806 | -87.3513 | -337.4500 | -1.2781 | -1.6769 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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