| --- |
| base_model: Qwen/Qwen2-0.5B-Instruct |
| library_name: peft |
| license: apache-2.0 |
| tags: |
| - trl |
| - dpo |
| - generated_from_trainer |
| model-index: |
| - name: dpo-model-lora |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # dpo-model-lora |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6534 |
| - Rewards/chosen: -0.7320 |
| - Rewards/rejected: -0.8303 |
| - Rewards/accuracies: 0.6172 |
| - Rewards/margins: 0.0983 |
| - Logps/rejected: -359.0921 |
| - Logps/chosen: -378.4928 |
| - Logits/rejected: -2.2715 |
| - Logits/chosen: -2.3471 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | 0.6884 | 0.1030 | 50 | 0.6879 | -0.0543 | -0.0734 | 0.6484 | 0.0191 | -351.5229 | -371.7161 | -2.2877 | -2.3628 | |
| | 0.6787 | 0.2060 | 100 | 0.6770 | -0.1811 | -0.2114 | 0.6016 | 0.0303 | -352.9030 | -372.9836 | -2.2815 | -2.3565 | |
| | 0.6721 | 0.3090 | 150 | 0.6721 | -0.2679 | -0.3094 | 0.6562 | 0.0415 | -353.8831 | -373.8524 | -2.2782 | -2.3536 | |
| | 0.6668 | 0.4119 | 200 | 0.6665 | -0.4037 | -0.4625 | 0.6016 | 0.0588 | -355.4139 | -375.2100 | -2.2758 | -2.3515 | |
| | 0.6597 | 0.5149 | 250 | 0.6612 | -0.4907 | -0.5505 | 0.6172 | 0.0598 | -356.2946 | -376.0805 | -2.2757 | -2.3510 | |
| | 0.6581 | 0.6179 | 300 | 0.6578 | -0.6137 | -0.6975 | 0.625 | 0.0838 | -357.7639 | -377.3098 | -2.2736 | -2.3491 | |
| | 0.6536 | 0.7209 | 350 | 0.6556 | -0.6458 | -0.7367 | 0.6328 | 0.0909 | -358.1565 | -377.6311 | -2.2732 | -2.3489 | |
| | 0.6486 | 0.8239 | 400 | 0.6556 | -0.7025 | -0.7958 | 0.6328 | 0.0933 | -358.7473 | -378.1981 | -2.2737 | -2.3493 | |
| | 0.649 | 0.9269 | 450 | 0.6556 | -0.7432 | -0.8327 | 0.6484 | 0.0896 | -359.1166 | -378.6048 | -2.2726 | -2.3482 | |
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| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.44.2 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
