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--- |
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base_model: mistralai/Mistral-Nemo-Instruct-2407 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- llama-factory |
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- lora |
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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: Mistral-Nemo-12B-Instruct-SAA-Half |
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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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# Mistral-Nemo-12B-Instruct-SAA-Half |
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This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on the bct_non_cot_dpo_500 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5932 |
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- Rewards/chosen: -0.0554 |
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- Rewards/rejected: -0.0900 |
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- Rewards/accuracies: 0.7800 |
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- Rewards/margins: 0.0346 |
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- Logps/rejected: -0.9001 |
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- Logps/chosen: -0.5538 |
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- Logits/rejected: -2.3124 |
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- Logits/chosen: -2.2862 |
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- Sft Loss: 0.0563 |
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- Odds Ratio Loss: 5.3690 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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: 3.0 |
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### Training results |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.45.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.0 |
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- Tokenizers 0.20.0 |
