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--- |
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library_name: transformers |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5006 |
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- Rewards/chosen: -1.0395 |
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- Rewards/rejected: -2.0108 |
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- Rewards/accuracies: 0.7852 |
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- Rewards/margins: 0.9713 |
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- Logps/rejected: -463.7658 |
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- Logps/chosen: -366.5239 |
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- Logits/rejected: 0.6358 |
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- Logits/chosen: -0.3905 |
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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: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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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| 0.5644 | 0.2092 | 100 | 0.5693 | -0.4760 | -0.9833 | 0.75 | 0.5073 | -361.0131 | -310.1760 | -1.6463 | -1.8042 | |
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| 0.5482 | 0.4184 | 200 | 0.5285 | -0.5789 | -1.3324 | 0.7812 | 0.7535 | -395.9196 | -320.4612 | -1.1108 | -1.6512 | |
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| 0.4952 | 0.6276 | 300 | 0.5067 | -1.0198 | -1.9482 | 0.7734 | 0.9284 | -457.5016 | -364.5515 | 0.5574 | -0.3940 | |
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| 0.5037 | 0.8368 | 400 | 0.5006 | -1.0395 | -2.0108 | 0.7852 | 0.9713 | -463.7658 | -366.5239 | 0.6358 | -0.3905 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
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- Datasets 2.18.0 |
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- Tokenizers 0.20.0 |
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