bert-small-finetuned-wnut17-ner

muhtasham/bert-small-finetuned-wnut17-ner

bert-small-finetuned-wnut17-ner is a token classification model from muhtasham. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Datasets

wnut_17

Model card

From the Hugging Face model README

bert-small-finetuned-wnut17-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: 0.3649
Precision: 0.6259
Recall: 0.4043
F1: 0.4913
Accuracy: 0.9255

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
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	425	0.3578	0.6382	0.3481	0.4505	0.9229
0.2359	2.0	850	0.3708	0.6535	0.3768	0.4780	0.9245
0.1231	3.0	1275	0.3649	0.6259	0.4043	0.4913	0.9255

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Aug 17, 2022
Updated: Jun 18, 2023