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---
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
``` |