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--- |
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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: HachiML/Mistral-7B-v0.3-mxm0.5-lora |
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model-index: |
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- name: Mistral-7B-v0.3-dpo-lora_sr_mxm1_lr1e-5_3ep |
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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-v0.3-dpo-lora_sr_mxm1_lr1e-5_3ep |
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This model is a fine-tuned version of [HachiML/Mistral-7B-v0.3-mxm0.5-lora](https://huggingface.co/HachiML/Mistral-7B-v0.3-mxm0.5-lora) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3042 |
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- Rewards/chosen: -1.2203 |
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- Rewards/rejected: -3.3451 |
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- Rewards/accuracies: 0.8378 |
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- Rewards/margins: 2.1247 |
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- Logps/rejected: -261.0693 |
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- Logps/chosen: -372.8520 |
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- Logits/rejected: 1.1299 |
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- Logits/chosen: 0.4372 |
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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: 3 |
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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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| 0.4588 | 1.0 | 103 | 0.3524 | -0.7926 | -2.3725 | 0.7857 | 1.5799 | -251.3439 | -368.5752 | 0.8310 | 0.2112 | |
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| 0.1934 | 2.0 | 206 | 0.3055 | -1.1865 | -3.2760 | 0.8170 | 2.0896 | -260.3791 | -372.5136 | 1.0927 | 0.4082 | |
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| 0.1254 | 3.0 | 309 | 0.3042 | -1.2203 | -3.3451 | 0.8378 | 2.1247 | -261.0693 | -372.8520 | 1.1299 | 0.4372 | |
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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 |
