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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.1 |
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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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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: zephyr-7b-dpo-qlora |
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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-qlora |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5031 |
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- Rewards/chosen: -1.9728 |
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- Rewards/rejected: -2.9618 |
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- Rewards/accuracies: 0.7695 |
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- Rewards/margins: 0.9890 |
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- Logps/rejected: -543.7128 |
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- Logps/chosen: -443.7073 |
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- Logits/rejected: -1.1810 |
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- Logits/chosen: -1.2525 |
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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: 4 |
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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: 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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| 0.5646 | 0.2093 | 100 | 0.5739 | -0.9253 | -1.4816 | 0.7188 | 0.5564 | -395.6964 | -338.9565 | -1.9267 | -1.9878 | |
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| 0.5524 | 0.4186 | 200 | 0.5318 | -0.8476 | -1.5395 | 0.7617 | 0.6919 | -401.4810 | -331.1845 | -1.5104 | -1.5801 | |
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| 0.4977 | 0.6279 | 300 | 0.5100 | -1.8821 | -2.8383 | 0.7773 | 0.9562 | -531.3586 | -434.6388 | -1.1156 | -1.1878 | |
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| 0.5096 | 0.8373 | 400 | 0.5035 | -2.0213 | -3.0170 | 0.7656 | 0.9957 | -549.2363 | -448.5603 | -1.1850 | -1.2569 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
