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--- |
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library_name: peft |
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tags: |
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- trl |
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- dpo |
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- unsloth |
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- generated_from_trainer |
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base_model: hatakeyama-llm-team/with_halcination_little_codes_ck5200 |
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model-index: |
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- name: dpo-lora-2 |
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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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[<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/misdelivery/huggingface/runs/rscpty01) |
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# dpo-lora-2 |
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This model is a fine-tuned version of [hatakeyama-llm-team/with_halcination_little_codes_ck5200](https://huggingface.co/hatakeyama-llm-team/with_halcination_little_codes_ck5200) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2400 |
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- Rewards/chosen: 1.0314 |
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- Rewards/rejected: -3.3152 |
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- Rewards/accuracies: 0.7485 |
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- Rewards/margins: 4.3466 |
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- Logps/rejected: -324.0153 |
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- Logps/chosen: -225.2345 |
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- Logits/rejected: -0.1042 |
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- Logits/chosen: 0.2104 |
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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: 64 |
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- total_train_batch_size: 128 |
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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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| 0.2789 | 0.32 | 100 | 0.2862 | 0.7314 | -2.0185 | 0.7407 | 2.7499 | -311.0483 | -228.2343 | 0.1715 | 0.3351 | |
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| 0.2351 | 0.64 | 200 | 0.2444 | 1.0416 | -3.0321 | 0.7534 | 4.0737 | -321.1842 | -225.1324 | -0.1048 | 0.1873 | |
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| 0.2457 | 0.96 | 300 | 0.2400 | 1.0314 | -3.3152 | 0.7485 | 4.3466 | -324.0153 | -225.2345 | -0.1042 | 0.2104 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
