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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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- alignment-handbook |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-full-gpt_consistent-reward-scale-1-rpo |
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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-gpt_consistent-reward-scale-1-rpo |
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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: 0.1126 |
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- Rewards/chosen: -0.4018 |
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- Rewards/rejected: -0.9642 |
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- Rewards/accuracies: 0.75 |
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- Rewards/margins: 0.5623 |
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- Logps/rejected: -342.9399 |
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- Logps/chosen: -325.2745 |
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- Logits/rejected: 0.1904 |
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- Logits/chosen: -0.6159 |
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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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| 0.1732 | 0.1147 | 50 | 0.1640 | 0.0140 | -0.1117 | 0.7069 | 0.1256 | -257.6913 | -283.6945 | -2.4927 | -2.5723 | |
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| 0.1412 | 0.2294 | 100 | 0.1392 | -0.5601 | -0.9388 | 0.7198 | 0.3787 | -340.4027 | -341.0970 | -0.8338 | -1.1029 | |
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| 0.1327 | 0.3440 | 150 | 0.1257 | -0.3660 | -0.8686 | 0.7241 | 0.5025 | -333.3776 | -321.6920 | -0.4213 | -0.9346 | |
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| 0.1242 | 0.4587 | 200 | 0.1193 | -0.3424 | -0.8506 | 0.7457 | 0.5082 | -331.5807 | -319.3252 | -0.1498 | -0.9084 | |
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| 0.118 | 0.5734 | 250 | 0.1167 | -0.3734 | -0.9685 | 0.7543 | 0.5950 | -343.3683 | -322.4342 | -0.0251 | -0.8147 | |
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| 0.1236 | 0.6881 | 300 | 0.1145 | -0.4780 | -1.0449 | 0.7629 | 0.5669 | -351.0162 | -332.8936 | 0.2891 | -0.5285 | |
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| 0.122 | 0.8028 | 350 | 0.1127 | -0.4577 | -1.0376 | 0.7672 | 0.5799 | -350.2830 | -330.8570 | 0.3397 | -0.4806 | |
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| 0.12 | 0.9174 | 400 | 0.1126 | -0.4018 | -0.9642 | 0.75 | 0.5623 | -342.9399 | -325.2745 | 0.1904 | -0.6159 | |
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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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