bert-finetuned-ner-Colab

TiffanyTiffany/bert-finetuned-ner-Colab

bert-finetuned-ner-Colab is a token classification model from TiffanyTiffany. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: cc-by-nc-sa-4.0
Model type: bert
Access: Public
Created: Aug 29, 2023
Updated: Aug 29, 2023
SHA: b414a28d

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Base models

Babelscape/wikineural-multilingual-ner

Datasets

wnut_17

Model card

From the Hugging Face model README

bert-finetuned-ner-Colab

This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the wnut_17 dataset. It achieves the following results on the evaluation set:

Loss: 0.3577
Precision: 0.6570
Recall: 0.4856
F1: 0.5585
Accuracy: 0.9340

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	0.3191	0.6465	0.4091	0.5011	0.9273
0.1595	2.0	850	0.3320	0.6719	0.4629	0.5482	0.9316
0.0681	3.0	1275	0.3577	0.6570	0.4856	0.5585	0.9340

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: cc-by-nc-sa-4.0
Created: Aug 29, 2023
Updated: Aug 29, 2023