README.md

metadata

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