| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - conll2003 | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: test-ner | |
| results: | |
| - task: | |
| name: Token Classification | |
| type: token-classification | |
| dataset: | |
| name: conll2003 | |
| type: conll2003 | |
| args: conll2003 | |
| metrics: | |
| - name: Precision | |
| type: precision | |
| value: 0.9467731204258151 | |
| - name: Recall | |
| type: recall | |
| value: 0.9579266240323123 | |
| - name: F1 | |
| type: f1 | |
| value: 0.952317215994646 | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.9920953233908337 | |
| <!-- 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. --> | |
| # test-ner | |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the conll2003 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0398 | |
| - Precision: 0.9468 | |
| - Recall: 0.9579 | |
| - F1: 0.9523 | |
| - Accuracy: 0.9921 | |
| ## 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: 5e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - distributed_type: IPU | |
| - total_train_batch_size: 16 | |
| - total_eval_batch_size: 10 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| - training precision: Mixed Precision | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.20.0 | |
| - Pytorch 1.10.0+cpu | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |