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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: mistralai/Mistral-7B-Instruct-v0.3 |
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model-index: |
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- name: Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_2ep |
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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-7B-Instruct-v0.3-dpo-lora_lr1e-5_2ep |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co./mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3109 |
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- Rewards/chosen: 0.7129 |
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- Rewards/rejected: -1.3545 |
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- Rewards/accuracies: 0.8795 |
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- Rewards/margins: 2.0674 |
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- Logps/rejected: -373.3019 |
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- Logps/chosen: -422.7253 |
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- Logits/rejected: -0.2832 |
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- Logits/chosen: -0.1040 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 0.05 |
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- num_epochs: 2 |
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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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| 0.4052 | 1.0 | 103 | 0.3249 | 0.5808 | -1.2724 | 0.8795 | 1.8532 | -372.4805 | -424.0459 | -0.3089 | -0.1139 | |
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| 0.1566 | 2.0 | 206 | 0.3109 | 0.7129 | -1.3545 | 0.8795 | 2.0674 | -373.3019 | -422.7253 | -0.2832 | -0.1040 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
