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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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- 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-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: 0.5025 |
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- Rewards/chosen: -1.0211 |
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- Rewards/rejected: -2.0056 |
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- Rewards/accuracies: 0.7773 |
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- Rewards/margins: 0.9845 |
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- Logps/rejected: -463.2262 |
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- Logps/chosen: -364.7427 |
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- Logits/rejected: 1.5124 |
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- Logits/chosen: 0.6094 |
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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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| 0.5655 | 0.2092 | 100 | 0.5746 | -0.7161 | -1.2966 | 0.7070 | 0.5805 | -392.3193 | -334.2372 | -0.4365 | -0.6501 | |
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| 0.5457 | 0.4184 | 200 | 0.5249 | -0.9842 | -1.7929 | 0.7773 | 0.8086 | -441.9472 | -361.0536 | 0.9213 | 0.3160 | |
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| 0.4955 | 0.6276 | 300 | 0.5092 | -0.9649 | -1.8656 | 0.7656 | 0.9007 | -449.2220 | -359.1224 | 1.2341 | 0.4705 | |
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| 0.5033 | 0.8368 | 400 | 0.5032 | -1.0014 | -1.9606 | 0.7734 | 0.9592 | -458.7184 | -362.7651 | 1.3908 | 0.5145 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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