muhtasham/bert-small-finetuned-xglue-ner

<!-- 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. -->

bert-small-finetuned-xglue-ner

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the wnut_17 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3663
• —Precision: 0.5932
• —Recall: 0.3959
• —F1: 0.4749
• —Accuracy: 0.9252

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.21.1
• —Pytorch 1.12.1+cu113
• —Datasets 2.4.0
• —Tokenizers 0.12.1