--- base_model: huawei-noah/TinyBERT_General_4L_312D tags: - generated_from_trainer model-index: - name: TinyBERT_General_4L_312D-finetuned-squad results: [] --- # TinyBERT_General_4L_312D-finetuned-squad This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.5172 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.869 | 1.0 | 8235 | 1.6441 | | 1.6291 | 2.0 | 16470 | 1.5051 | | 1.5225 | 3.0 | 24705 | 1.5172 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2