Model save
Browse files- README.md +3 -19
- all_results.json +3 -19
- train_results.json +3 -3
- trainer_state.json +437 -437
README.md
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---
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base_model: deepseek-ai/deepseek-math-7b-base
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datasets:
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- zfz1/my_preference_gsm8k_deepseek
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library_name: peft
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license: other
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tags:
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- alignment-handbook
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- trl
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- orpo
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- generated_from_trainer
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thuzfz1/huggingface/runs/
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# deepseek-8b-orpo-lora
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This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base) on
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It achieves the following results on the evaluation set:
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- Loss: 1.1456
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- Rewards/chosen: -0.0726
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- Rewards/rejected: -0.0757
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- Rewards/accuracies: 0.5647
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- Rewards/margins: 0.0031
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- Logps/rejected: -0.7569
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- Logps/chosen: -0.7262
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- Logits/rejected: 30.3288
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- Logits/chosen: 30.4427
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- Nll Loss: 1.0719
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- Log Odds Ratio: -0.6909
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- Log Odds Chosen: 0.0553
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 43
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---
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base_model: deepseek-ai/deepseek-math-7b-base
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library_name: peft
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license: other
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tags:
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- trl
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- orpo
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- generated_from_trainer
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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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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thuzfz1/huggingface/runs/z4q90sz1)
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# deepseek-8b-orpo-lora
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This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base) on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 43
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all_results.json
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train_results.json
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trainer_state.json
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