--- license: mit tags: - generated_from_trainer datasets: - squad model-index: - name: xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-6 results: [] --- # xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-6 This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on the squad dataset. It achieves the following results on the evaluation set: - Loss: 1.2578 ## 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: 48 - eval_batch_size: 48 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.3828 | 1.0 | 1845 | 1.7946 | | 1.5827 | 2.0 | 3690 | 1.4123 | | 1.404 | 3.0 | 5535 | 1.3142 | | 1.346 | 4.0 | 7380 | 1.2819 | | 1.2871 | 5.0 | 9225 | 1.2630 | | 1.2538 | 6.0 | 11070 | 1.2578 | ### Framework versions - Transformers 4.15.0 - Pytorch 1.10.0+cu111 - Datasets 1.17.0 - Tokenizers 0.10.3