--- license: mit tags: - generated_from_trainer datasets: - squad_v2 model-index: - name: wd_0.01_bs_24_lr_2e-05_epochs_4 results: [] --- # wd_0.01_bs_24_lr_2e-05_epochs_4 This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the squad_v2 dataset. ## 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: 72 - eval_batch_size: 192 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4.0 ### Training results ### Framework versions - Transformers 4.27.4 - Pytorch 1.13.1 - Datasets 2.11.0 - Tokenizers 0.11.0