| language: | |
| - en | |
| license: cc-by-4.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad_v2 | |
| - conll2003 | |
| model_index: | |
| - name: bert-large-uncased-whole-word-masking-squad2-with-ner-conll2003-with-neg-with-repeat | |
| results: | |
| - task: | |
| name: Token Classification | |
| type: token-classification | |
| dataset: | |
| name: squad_v2 | |
| type: squad_v2 | |
| args: conll2003 | |
| - task: | |
| name: Token Classification | |
| type: token-classification | |
| dataset: | |
| name: conll2003 | |
| type: conll2003 | |
| base_model: deepset/bert-large-uncased-whole-word-masking-squad2 | |
| <!-- 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. --> | |
| # bert-large-uncased-whole-word-masking-squad2-with-ner-conll2003-with-neg-with-repeat | |
| This model is a fine-tuned version of [deepset/bert-large-uncased-whole-word-masking-squad2](https://huggingface.co/deepset/bert-large-uncased-whole-word-masking-squad2) on the squad_v2 and the conll2003 datasets. | |
| ## 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: 4 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.8.2 | |
| - Pytorch 1.8.1+cu111 | |
| - Datasets 1.8.0 | |
| - Tokenizers 0.10.3 | |