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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-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: 0.0327 |
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- Rewards/chosen: -0.1258 |
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- Rewards/rejected: -0.4253 |
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- Rewards/accuracies: 0.7543 |
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- Rewards/margins: 0.2995 |
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- Logps/rejected: -289.0509 |
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- Logps/chosen: -297.6692 |
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- Logits/rejected: -1.4762 |
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- Logits/chosen: -1.6863 |
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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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| 0.0487 | 0.1147 | 50 | 0.0455 | 0.0300 | -0.0845 | 0.7026 | 0.1145 | -254.9693 | -282.0912 | -2.4928 | -2.5717 | |
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| 0.0408 | 0.2294 | 100 | 0.0391 | -0.1071 | -0.3089 | 0.6897 | 0.2018 | -277.4089 | -295.8004 | -1.7416 | -1.8404 | |
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| 0.0379 | 0.3440 | 150 | 0.0365 | -0.1406 | -0.4136 | 0.7155 | 0.2730 | -287.8874 | -299.1519 | -1.6357 | -1.7904 | |
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| 0.0365 | 0.4587 | 200 | 0.0350 | -0.0650 | -0.3264 | 0.7543 | 0.2614 | -279.1631 | -291.5866 | -1.7552 | -1.9178 | |
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| 0.0346 | 0.5734 | 250 | 0.0337 | -0.1319 | -0.4539 | 0.7543 | 0.3220 | -291.9156 | -298.2828 | -1.4871 | -1.7192 | |
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| 0.036 | 0.6881 | 300 | 0.0331 | -0.1336 | -0.4291 | 0.75 | 0.2955 | -289.4286 | -298.4504 | -1.4842 | -1.6835 | |
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| 0.0359 | 0.8028 | 350 | 0.0327 | -0.1378 | -0.4472 | 0.7586 | 0.3094 | -291.2399 | -298.8666 | -1.4658 | -1.6786 | |
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| 0.0351 | 0.9174 | 400 | 0.0327 | -0.1258 | -0.4253 | 0.7543 | 0.2995 | -289.0509 | -297.6692 | -1.4762 | -1.6863 | |
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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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