--- license: mit tags: - generated_from_trainer datasets: - squad model-index: - name: xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-3 results: [] --- # xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-3 This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on the turkish squad dataset. It achieves the following results on the evaluation set: - Loss: 2.6510 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 3.0113 | 1.0 | 1050 | 2.7529 | | 2.838 | 2.0 | 2100 | 2.6510 | | 2.8168 | 3.0 | 3150 | 2.6510 | ### Framework versions - Transformers 4.15.0 - Pytorch 1.10.0+cu111 - Datasets 1.17.0 - Tokenizers 0.10.3