| --- |
| tags: |
| - generated_from_trainer |
| datasets: |
| - cfilt/HiNER-collapsed |
| metrics: |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: HiNER-collapsed-xlm-roberta-base |
| results: |
| - task: |
| name: Token Classification |
| type: token-classification |
| dataset: |
| type: cfilt/HiNER-collapsed |
| name: HiNER Collapsed |
| metrics: |
| - name: Precision |
| type: precision |
| value: 0.9137448834064936 |
| - name: Recall |
| type: recall |
| value: 0.9296549644788663 |
| - name: F1 |
| type: f1 |
| value: 0.9216312652954473 |
| --- |
| |
| <!-- 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. --> |
|
|
| # HiNER-collapsed-xlm-roberta-base |
|
|
| This model was trained from scratch on an unknown 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: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 1 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10.0 |
|
|
| ### Framework versions |
|
|
| - Transformers 4.14.0 |
| - Pytorch 1.9.1 |
| - Datasets 1.15.1 |
| - Tokenizers 0.10.3 |
|
|
