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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-full |
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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-full |
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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: 0.5714 |
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- Rewards/chosen: -0.4765 |
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- Rewards/rejected: -1.7868 |
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- Rewards/accuracies: 0.7619 |
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- Rewards/margins: 1.3103 |
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- Logps/rejected: -294.2741 |
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- Logps/chosen: -305.4321 |
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- Logits/rejected: -2.4275 |
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- Logits/chosen: -2.4841 |
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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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| 0.5509 | 0.26 | 500 | 0.6311 | 0.8114 | -0.1181 | 0.7619 | 0.9294 | -277.5868 | -292.5533 | -2.4249 | -2.4869 | |
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| 0.6191 | 0.52 | 1000 | 0.5984 | 0.0381 | -1.0554 | 0.7599 | 1.0935 | -286.9601 | -300.2859 | -2.4280 | -2.4907 | |
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| 0.5342 | 0.78 | 1500 | 0.5819 | 0.0994 | -1.1560 | 0.7560 | 1.2554 | -287.9663 | -299.6732 | -2.4208 | -2.4793 | |
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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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