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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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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-reference |
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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-reference |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0429 |
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- Rewards/chosen: -0.5987 |
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- Rewards/rejected: -10.2552 |
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- Rewards/accuracies: 0.9741 |
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- Rewards/margins: 9.6565 |
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- Logps/rejected: -175.1052 |
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- Logps/chosen: -304.8906 |
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- Logits/rejected: -1.9643 |
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- Logits/chosen: -2.1592 |
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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-07 |
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- train_batch_size: 8 |
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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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- num_devices: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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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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| 0.0811 | 0.29 | 500 | 0.0543 | -0.5167 | -8.9128 | 0.9720 | 8.3961 | -161.6813 | -304.0705 | -2.0037 | -2.1857 | |
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| 0.0362 | 0.57 | 1000 | 0.0483 | -0.4980 | -9.5824 | 0.9720 | 9.0844 | -168.3771 | -303.8834 | -2.0113 | -2.2030 | |
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| 0.0318 | 0.86 | 1500 | 0.0442 | -0.8458 | -10.5987 | 0.9720 | 9.7529 | -178.5403 | -307.3617 | -1.9506 | -2.1461 | |
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### Framework versions |
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- Transformers 4.36.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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