| language: | |
| - en | |
| tags: | |
| - token-classification | |
| - pytorch | |
| license: apache-2.0 | |
| datasets: | |
| - conll2003 | |
| metrics: | |
| - Accuracy, F1 Score, Precision, Recall | |
| model-index: | |
| - name: bhadresh-savani/electra-base-discriminator-finetuned-conll03-english | |
| results: | |
| - task: | |
| type: token-classification | |
| name: Token Classification | |
| dataset: | |
| name: conll2003 | |
| type: conll2003 | |
| config: conll2003 | |
| split: test | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.9397659001450176 | |
| verified: true | |
| - name: Precision | |
| type: precision | |
| value: 0.9492206245667668 | |
| verified: true | |
| - name: Recall | |
| type: recall | |
| value: 0.9468813162653806 | |
| verified: true | |
| - name: F1 | |
| type: f1 | |
| value: 0.9480495273598721 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 0.3468747138977051 | |
| verified: true | |
| # Electra Base Discriminator conll03 English | |
| # Results: | |
| ``` | |
| ***** predict metrics ***** | |
| predict_accuracy = 0.9813 | |
| predict_f1 = 0.9137 | |
| predict_loss = 0.1251 | |
| predict_precision = 0.9098 | |
| predict_recall = 0.9177 | |
| predict_runtime = 0:00:10.11 | |
| predict_samples_per_second = 341.368 | |
| predict_steps_per_second = 42.696 | |
| ``` |