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--- |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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library_name: peft |
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license: apache-2.0 |
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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: zephyr-7b-dpo-lora-r16-20k |
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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-r16-20k |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5301 |
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- Rewards/chosen: -0.7870 |
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- Rewards/rejected: -1.4645 |
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- Rewards/accuracies: 0.7202 |
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- Rewards/margins: 0.6775 |
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- Logps/rejected: -394.4780 |
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- Logps/chosen: -361.9388 |
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- Logits/rejected: -2.5045 |
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- Logits/chosen: -2.5477 |
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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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| 0.6899 | 0.08 | 100 | 0.6897 | 0.0098 | 0.0028 | 0.6667 | 0.0070 | -247.7543 | -282.2605 | -2.8468 | -2.8890 | |
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| 0.6532 | 0.16 | 200 | 0.6569 | -0.0128 | -0.0950 | 0.6885 | 0.0822 | -257.5306 | -284.5143 | -2.8386 | -2.8782 | |
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| 0.6372 | 0.24 | 300 | 0.6181 | -0.2381 | -0.4406 | 0.6825 | 0.2026 | -292.0921 | -307.0444 | -2.8033 | -2.8402 | |
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| 0.5699 | 0.32 | 400 | 0.6034 | -0.2658 | -0.5383 | 0.6964 | 0.2725 | -301.8563 | -309.8138 | -2.7952 | -2.8319 | |
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| 0.5622 | 0.4 | 500 | 0.5688 | -0.5565 | -0.9794 | 0.7143 | 0.4229 | -345.9727 | -338.8872 | -2.6913 | -2.7320 | |
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| 0.5826 | 0.48 | 600 | 0.5457 | -0.5456 | -1.1188 | 0.7242 | 0.5732 | -359.9116 | -337.7992 | -2.6523 | -2.6907 | |
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| 0.5313 | 0.56 | 700 | 0.5387 | -0.7142 | -1.3304 | 0.7242 | 0.6162 | -381.0734 | -354.6571 | -2.6173 | -2.6586 | |
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| 0.5332 | 0.64 | 800 | 0.5386 | -0.7256 | -1.3351 | 0.7183 | 0.6096 | -381.5442 | -355.7965 | -2.5760 | -2.6167 | |
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| 0.5334 | 0.72 | 900 | 0.5368 | -0.7061 | -1.3229 | 0.7163 | 0.6168 | -380.3204 | -353.8529 | -2.5574 | -2.5999 | |
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| 0.5837 | 0.8 | 1000 | 0.5302 | -0.7953 | -1.4787 | 0.7163 | 0.6834 | -395.8991 | -362.7657 | -2.5273 | -2.5706 | |
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| 0.5144 | 0.88 | 1100 | 0.5327 | -0.7410 | -1.4021 | 0.7123 | 0.6611 | -388.2353 | -357.3381 | -2.5162 | -2.5586 | |
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| 0.5196 | 0.96 | 1200 | 0.5301 | -0.7870 | -1.4645 | 0.7202 | 0.6775 | -394.4780 | -361.9388 | -2.5045 | -2.5477 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
