| library_name: transformers | |
| license: apache-2.0 | |
| base_model: Qwen/Qwen3-4B-Instruct-2507 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: Qwen3-4B-Instruct-2507-faquad | |
| 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. --> | |
| # Qwen3-4B-Instruct-2507-faquad | |
| This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.9184 | |
| ## 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: 2e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - 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: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 0.2316 | 1.0 | 782 | 0.8361 | | |
| | 0.1285 | 2.0 | 1564 | 0.9184 | | |
| ### Framework versions | |
| - Transformers 4.51.3 | |
| - Pytorch 2.6.0+cu124 | |
| - Datasets 3.2.0 | |
| - Tokenizers 0.21.0 | |