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--- |
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library_name: transformers |
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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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- trl |
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- dpo |
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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-group-dpo-full-4 |
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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-group-dpo-full-4 |
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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: 0.3329 |
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- Rewards/chosen: -3.5718 |
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- Rewards/rejected: -6.6220 |
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- Rewards/accuracies: 0.8281 |
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- Rewards/margins: 3.0502 |
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- Logps/rejected: -952.0885 |
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- Logps/chosen: -639.7113 |
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- Logits/rejected: -0.6186 |
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- Logits/chosen: -1.1189 |
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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: 4 |
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- total_train_batch_size: 256 |
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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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| 0.2094 | 0.2303 | 100 | 0.4273 | -1.2973 | -2.4710 | 0.7768 | 1.1737 | -536.9892 | -412.2621 | -2.8747 | -2.8886 | |
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| 0.1232 | 0.4606 | 200 | 0.3541 | -2.8531 | -5.1625 | 0.8069 | 2.3094 | -806.1392 | -567.8411 | -1.2949 | -1.6181 | |
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| 0.1 | 0.6908 | 300 | 0.3383 | -3.9067 | -6.9476 | 0.8158 | 3.0409 | -984.6500 | -673.2026 | -0.4879 | -0.9150 | |
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| 0.0956 | 0.9211 | 400 | 0.3329 | -3.5971 | -6.6557 | 0.8281 | 3.0586 | -955.4623 | -642.2396 | -0.6052 | -1.1035 | |
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### Framework versions |
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- Transformers 4.44.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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