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

Downloads last month: 147

Inference Examples

Token Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train bhadresh-savani/electra-base-discriminator-finetuned-conll03-english

Evaluation results

Accuracy on conll2003
test set self-reported

0.940
Precision on conll2003
test set self-reported

0.949
Recall on conll2003
test set self-reported

0.947
F1 on conll2003
test set self-reported

0.948
loss on conll2003
test set self-reported

0.347

View on Papers With Code