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--- |
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license: other |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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base_model: Qwen2/Qwen2-7B-Instruct |
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model-index: |
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- name: dpo_06221544_policy2 |
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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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# dpo_06221544_policy2 |
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This model is a fine-tuned version of [/root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-sft-06221544-iter1-policy2](https://huggingface.co//root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-sft-06221544-iter1-policy2) on the dpo_data_5370_0621 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0678 |
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- Rewards/chosen: 0.9462 |
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- Rewards/rejected: -3.0599 |
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- Rewards/accuracies: 0.9778 |
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- Rewards/margins: 4.0060 |
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- Logps/rejected: -203.4532 |
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- Logps/chosen: -274.8549 |
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- Logits/rejected: -1.4117 |
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- Logits/chosen: -0.2185 |
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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: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_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: 3.0 |
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### Training results |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
