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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: 0.4893 |
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- Rewards/chosen: -1.9379 |
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- Rewards/rejected: -3.0213 |
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- Rewards/accuracies: 0.7718 |
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- Rewards/margins: 1.0835 |
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- Logps/rejected: -563.9073 |
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- Logps/chosen: -477.8896 |
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- Logits/rejected: 0.6827 |
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- Logits/chosen: -0.4606 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 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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| 0.6338 | 0.1 | 100 | 0.6333 | -0.4184 | -0.6017 | 0.6865 | 0.1833 | -321.9407 | -325.9421 | -2.4857 | -2.5392 | |
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| 0.5643 | 0.21 | 200 | 0.5547 | -1.1977 | -1.8547 | 0.7480 | 0.6570 | -447.2422 | -403.8748 | 0.1190 | -0.4672 | |
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| 0.5066 | 0.31 | 300 | 0.5214 | -0.9561 | -1.7858 | 0.7778 | 0.8297 | -440.3582 | -379.7161 | -0.7390 | -1.4155 | |
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| 0.4941 | 0.42 | 400 | 0.5082 | -1.2581 | -2.1325 | 0.7599 | 0.8744 | -475.0238 | -409.9142 | 0.1688 | -0.7662 | |
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| 0.506 | 0.52 | 500 | 0.5090 | -1.1067 | -2.0712 | 0.7639 | 0.9645 | -468.8966 | -394.7739 | 1.3983 | 0.0857 | |
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| 0.4893 | 0.63 | 600 | 0.4953 | -1.4696 | -2.4963 | 0.7579 | 1.0267 | -511.4048 | -431.0652 | 0.9613 | -0.4181 | |
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| 0.4558 | 0.73 | 700 | 0.4937 | -1.8124 | -2.8894 | 0.7698 | 1.0770 | -550.7128 | -465.3409 | 0.6946 | -0.4445 | |
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| 0.4781 | 0.84 | 800 | 0.4898 | -1.9968 | -3.0983 | 0.7698 | 1.1015 | -571.6086 | -483.7863 | 0.7311 | -0.4503 | |
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| 0.495 | 0.94 | 900 | 0.4894 | -1.9365 | -3.0176 | 0.7698 | 1.0812 | -563.5378 | -477.7505 | 0.6757 | -0.4642 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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