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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: cognitivecomputations/dolphin-2.1-mistral-7b |
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model-index: |
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- name: doplhin-mistral-dpo-ultrafeedback-binarized-preferences-kto_pair |
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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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# doplhin-mistral-dpo-ultrafeedback-binarized-preferences-kto_pair |
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This model is a fine-tuned version of [cognitivecomputations/dolphin-2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2024 |
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- Rewards/chosen: 3.9237 |
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- Rewards/rejected: -1.2199 |
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- Rewards/accuracies: 0.7871 |
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- Rewards/margins: 5.1437 |
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- Logps/rejected: -319.8331 |
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- Logps/chosen: -311.9210 |
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- Logits/rejected: -2.2827 |
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- Logits/chosen: -2.4135 |
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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-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 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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| 0.2261 | 0.25 | 700 | 0.2691 | 3.8384 | 0.5201 | 0.6951 | 3.3183 | -302.4326 | -312.7741 | -2.4004 | -2.5103 | |
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| 0.1934 | 0.51 | 1400 | 0.2197 | 3.0918 | -2.0543 | 0.7802 | 5.1461 | -328.1768 | -320.2403 | -2.3140 | -2.4316 | |
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| 0.2163 | 0.76 | 2100 | 0.2024 | 3.9237 | -1.2199 | 0.7871 | 5.1437 | -319.8331 | -311.9210 | -2.2827 | -2.4135 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
