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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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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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model-index: |
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- name: zephyr-7b-dpo-lora-pairrm |
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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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# zephyr-7b-dpo-lora-pairrm |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6764 |
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- Rewards/chosen: -0.9885 |
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- Rewards/rejected: -1.0650 |
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- Rewards/accuracies: 0.5657 |
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- Rewards/margins: 0.0765 |
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- Logps/rejected: -320.4450 |
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- Logps/chosen: -307.4615 |
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- Logits/rejected: -2.7535 |
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- Logits/chosen: -2.7599 |
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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-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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| 0.6916 | 0.08 | 100 | 0.6925 | -0.0162 | -0.0177 | 0.5280 | 0.0015 | -215.7187 | -210.2296 | -2.5058 | -2.5086 | |
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| 0.6855 | 0.16 | 200 | 0.6880 | -0.0651 | -0.0772 | 0.5613 | 0.0121 | -221.6710 | -215.1240 | -2.5152 | -2.5178 | |
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| 0.6825 | 0.24 | 300 | 0.6854 | -0.1874 | -0.2081 | 0.5473 | 0.0207 | -234.7546 | -227.3457 | -2.5175 | -2.5192 | |
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| 0.6676 | 0.32 | 400 | 0.6827 | -0.2909 | -0.3222 | 0.5477 | 0.0313 | -246.1682 | -237.7042 | -2.5347 | -2.5368 | |
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| 0.6458 | 0.4 | 500 | 0.6805 | -0.3693 | -0.4104 | 0.5567 | 0.0410 | -254.9852 | -245.5435 | -2.6328 | -2.6364 | |
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| 0.6592 | 0.48 | 600 | 0.6789 | -0.6010 | -0.6528 | 0.5560 | 0.0518 | -279.2278 | -268.7087 | -2.6805 | -2.6845 | |
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| 0.6107 | 0.56 | 700 | 0.6785 | -0.8159 | -0.8786 | 0.5550 | 0.0627 | -301.8047 | -290.1964 | -2.6914 | -2.6969 | |
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| 0.6475 | 0.64 | 800 | 0.6770 | -0.8845 | -0.9544 | 0.5610 | 0.0699 | -309.3867 | -297.0627 | -2.7237 | -2.7295 | |
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| 0.6639 | 0.72 | 900 | 0.6766 | -0.9705 | -1.0450 | 0.5667 | 0.0746 | -318.4507 | -305.6558 | -2.7464 | -2.7525 | |
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| 0.6305 | 0.8 | 1000 | 0.6764 | -0.9844 | -1.0603 | 0.5680 | 0.0759 | -319.9799 | -307.0536 | -2.7543 | -2.7606 | |
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| 0.6754 | 0.88 | 1100 | 0.6763 | -0.9882 | -1.0648 | 0.5687 | 0.0766 | -320.4283 | -307.4264 | -2.7538 | -2.7602 | |
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| 0.6577 | 0.96 | 1200 | 0.6764 | -0.9885 | -1.0649 | 0.5663 | 0.0764 | -320.4412 | -307.4615 | -2.7538 | -2.7602 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
