bert-finetuned-ner-tokenizer

alban12/bert-finetuned-ner-tokenizer

bert-finetuned-ner-tokenizer is a token classification model from alban12. 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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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Sep 11, 2024
Updated: Sep 11, 2024
SHA: 1e031221

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Base models

Model card

From the Hugging Face model README

bert-finetuned-ner-tokenizer

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0280
Precision: 0.7896
Recall: 0.8536
F1: 0.8203
Accuracy: 0.9919
Wer: 0.0079

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy	Wer
0.0515	1.0	768	0.0273	0.7510	0.8495	0.7972	0.9907	0.0089
0.0192	2.0	1536	0.0259	0.7567	0.8627	0.8062	0.9911	0.0086
0.0158	3.0	2304	0.0259	0.7828	0.8565	0.8180	0.9916	0.0082
0.0111	4.0	3072	0.0280	0.7896	0.8536	0.8203	0.9919	0.0079

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 11, 2024
Updated: Sep 11, 2024