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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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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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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset |
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model-index: |
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- name: selective-pairrm-33045197-mt0 |
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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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# selective-pairrm-33045197-mt0 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6825 |
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- Rewards/chosen: -0.2329 |
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- Rewards/rejected: -0.2692 |
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- Rewards/accuracies: 0.6055 |
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- Rewards/margins: 0.0362 |
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- Logps/rejected: -417.6746 |
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- Logps/chosen: -401.4102 |
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- Logits/rejected: -3.1643 |
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- Logits/chosen: -3.1708 |
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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: 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: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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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| 0.6786 | 0.32 | 100 | 0.6868 | -0.0869 | -0.1015 | 0.5547 | 0.0146 | -400.9028 | -386.8027 | -2.8786 | -2.8855 | |
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| 0.6615 | 0.64 | 200 | 0.6828 | -0.1851 | -0.2144 | 0.5938 | 0.0294 | -412.2021 | -396.6207 | -3.0607 | -3.0672 | |
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| 0.6539 | 0.96 | 300 | 0.6821 | -0.2322 | -0.2693 | 0.6055 | 0.0371 | -417.6892 | -401.3395 | -3.1645 | -3.1709 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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