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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: alignment-handbook/zephyr-7b-sft-full |
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model-index: |
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- name: zephyr-7b-dpo-lora-pubmedqa-ultrafeedback-mix |
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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-lora-pubmedqa-ultrafeedback-mix |
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This model is a fine-tuned version of [EllieS/zephyr-7b-dpo-lora-pubmedqa-mix2](https://huggingface.co/EllieS/zephyr-7b-dpo-lora-pubmedqa-mix2) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5344 |
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- Rewards/chosen: -2.6374 |
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- Rewards/rejected: -3.7727 |
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- Rewards/accuracies: 0.7460 |
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- Rewards/margins: 1.1353 |
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- Logps/rejected: -652.6792 |
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- Logps/chosen: -559.1896 |
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- Logits/rejected: -1.8319 |
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- Logits/chosen: -2.0104 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 2 |
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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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| 0.5795 | 0.2 | 3000 | 0.5888 | -0.7760 | -1.1691 | 0.6830 | 0.3931 | -392.3199 | -373.0482 | -2.3689 | -2.4472 | |
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| 0.4501 | 0.39 | 6000 | 0.5437 | -2.1190 | -3.1229 | 0.7420 | 1.0038 | -587.6927 | -507.3499 | -1.8484 | -2.0210 | |
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| 0.3399 | 0.59 | 9000 | 0.5425 | -2.4666 | -3.6163 | 0.7410 | 1.1497 | -637.0340 | -542.1045 | -1.8202 | -2.0023 | |
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| 0.4636 | 0.79 | 12000 | 0.5347 | -2.6445 | -3.7774 | 0.7450 | 1.1329 | -653.1429 | -559.8973 | -1.8326 | -2.0102 | |
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| 0.544 | 0.98 | 15000 | 0.5346 | -2.6384 | -3.7732 | 0.7450 | 1.1348 | -652.7231 | -559.2841 | -1.8322 | -2.0103 | |
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### Framework versions |
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- PEFT 0.7.1 |
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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 0.15.2 |
