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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-magpi-reward-scale-05 |
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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-magpi-reward-scale-05 |
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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: 0.0006 |
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- Rewards/chosen: -1.9421 |
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- Rewards/rejected: -75.0558 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 73.1137 |
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- Logps/rejected: -8146.3696 |
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- Logps/chosen: -561.1917 |
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- Logits/rejected: 2.3223 |
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- Logits/chosen: -0.9088 |
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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: 55 |
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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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| 0.0079 | 0.1420 | 50 | 0.0052 | -1.4109 | -51.3621 | 0.9960 | 49.9512 | -5776.9990 | -508.0702 | -2.4011 | -2.8844 | |
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| 0.0031 | 0.2841 | 100 | 0.0012 | -2.0608 | -82.9205 | 1.0 | 80.8596 | -8932.8350 | -573.0657 | 0.0172 | -2.4172 | |
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| 0.0016 | 0.4261 | 150 | 0.0008 | -2.0420 | -78.8194 | 1.0 | 76.7774 | -8522.7256 | -571.1802 | 1.8918 | -2.1991 | |
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| 0.0015 | 0.5682 | 200 | 0.0007 | -1.9757 | -79.8216 | 1.0 | 77.8459 | -8622.9443 | -564.5500 | 2.5732 | -0.8412 | |
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| 0.0016 | 0.7102 | 250 | 0.0008 | -1.8298 | -70.1341 | 1.0 | 68.3043 | -7654.1978 | -549.9620 | 2.2580 | -1.2005 | |
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| 0.0008 | 0.8523 | 300 | 0.0006 | -1.9079 | -74.3261 | 1.0 | 72.4182 | -8073.3999 | -557.7685 | 2.2921 | -0.9558 | |
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| 0.0029 | 0.9943 | 350 | 0.0006 | -1.9421 | -75.0558 | 1.0 | 73.1137 | -8146.3696 | -561.1917 | 2.3223 | -0.9088 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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