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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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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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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 HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5028 |
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- Rewards/chosen: -0.9469 |
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- Rewards/rejected: -1.8932 |
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- Rewards/accuracies: 0.7656 |
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- Rewards/margins: 0.9463 |
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- Logps/rejected: -451.4661 |
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- Logps/chosen: -357.2325 |
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- Logits/rejected: 1.5731 |
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- Logits/chosen: 0.6530 |
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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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| 0.5545 | 0.21 | 100 | 0.5658 | -0.4953 | -1.1217 | 0.7188 | 0.6264 | -374.3159 | -312.0799 | -1.0287 | -1.3212 | |
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| 0.5026 | 0.42 | 200 | 0.5202 | -0.8995 | -1.7718 | 0.7461 | 0.8723 | -439.3264 | -352.4985 | 0.5190 | -0.1773 | |
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| 0.5106 | 0.63 | 300 | 0.5104 | -0.7946 | -1.6285 | 0.7656 | 0.8339 | -424.9976 | -342.0043 | 0.9099 | 0.0862 | |
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| 0.4859 | 0.84 | 400 | 0.5031 | -0.9777 | -1.9580 | 0.7578 | 0.9803 | -457.9452 | -360.3139 | 1.7438 | 0.7818 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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