| | --- |
| | library_name: peft |
| | license: other |
| | base_model: Qwen/Qwen3-8B |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: factory_qwen_results |
| | 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. --> |
| |
|
| | # factory_qwen_results |
| |
|
| | This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the train dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2496 |
| | - Accuracy: 0.9448 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 3 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 24 |
| | - total_eval_batch_size: 6 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 9.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | | 0.3591 | 1.0 | 42 | 0.3988 | 0.9035 | |
| | | 0.2673 | 2.0 | 84 | 0.3260 | 0.9197 | |
| | | 0.2425 | 3.0 | 126 | 0.2898 | 0.9289 | |
| | | 0.2069 | 4.0 | 168 | 0.2659 | 0.9346 | |
| | | 0.138 | 5.0 | 210 | 0.2525 | 0.9391 | |
| | | 0.1251 | 6.0 | 252 | 0.2497 | 0.9431 | |
| | | 0.1072 | 7.0 | 294 | 0.2475 | 0.9439 | |
| | | 0.1059 | 8.0 | 336 | 0.2483 | 0.9446 | |
| | | 0.1073 | 8.7904 | 369 | 0.2496 | 0.9448 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.15.2 |
| | - Transformers 4.51.3 |
| | - Pytorch 2.7.1+cu126 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
