bert-small-finetuned-ner-to-multilabel-wnut-17

muhtasham/bert-small-finetuned-ner-to-multilabel-wnut-17

bert-small-finetuned-ner-to-multilabel-wnut-17 is a text classification model from muhtasham. Use it when you need a label for a piece of text. 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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Model card

From the Hugging Face model README

bert-small-finetuned-ner-to-multilabel-wnut-17

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2186

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: 3e-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: constant
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.1987	1.18	500	0.2114
0.1235	2.35	1000	0.1894
0.0924	3.53	1500	0.1890
0.0735	4.71	2000	0.1958
0.0534	5.88	2500	0.1993
0.0401	7.06	3000	0.2186

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Aug 24, 2022
Updated: Jun 5, 2023