--- library_name: transformers license: apache-2.0 base_model: KienLe21/demo_qa_model tags: - generated_from_trainer model-index: - name: finetune_distilbert results: [] --- # finetune_distilbert This model is a fine-tuned version of [KienLe21/demo_qa_model](https://huggingface.co/KienLe21/demo_qa_model) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7024 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Use 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: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 50 | 0.7237 | | No log | 2.0 | 100 | 0.7118 | | No log | 3.0 | 150 | 0.7024 | ### Framework versions - Transformers 4.47.0 - Pytorch 2.5.1+cu121 - Datasets 3.3.1 - Tokenizers 0.21.0