| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad | |
| base_model: xlnet-large-cased | |
| model-index: | |
| - name: wd_0.01_bs_24_lr_1e-05_epochs_4 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # wd_0.01_bs_24_lr_1e-05_epochs_4 | |
| This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the squad 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: 1e-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 0.13.2 | |