bert-finetuned-ner

Thiagof/bert-finetuned-ner

bert-finetuned-ner is a token classification model from Thiagof. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Apr 19, 2023
Updated: Sep 22, 2023
SHA: 53a5d4ee

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Model card

From the Hugging Face model README

bert-finetuned-ner

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0113
Precision: 0.9571
Recall: 0.8933
F1: 0.9241
Accuracy: 0.9935

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	25	0.0296	0.9286	0.8667	0.8966	0.9870
No log	2.0	50	0.0087	0.9722	0.9333	0.9524	0.9961
No log	3.0	75	0.0113	0.9571	0.8933	0.9241	0.9935

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
Created: Apr 19, 2023
Updated: Sep 22, 2023