test-ner

Nattametee01/test-ner

test-ner is a token classification model from Nattametee01. 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. --

Downloads · 30 days

24% of all-time downloads

All-time downloads

Public

Parameters

92M

368 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors368 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 15, 2024
Updated: Oct 15, 2024
SHA: 59ec1b45

Try a prompt

Base models

Geotrend/bert-base-th-cased

Datasets

lst20

Model card

From the Hugging Face model README

test-ner

This model is a fine-tuned version of Geotrend/bert-base-th-cased on the lst20 dataset. It achieves the following results on the evaluation set:

Loss: 0.1910
Precision: 0.8147
Recall: 0.8409
F1: 0.8276
Accuracy: 0.9379

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1623	1.0	3957	0.1910	0.8147	0.8409	0.8276	0.9379

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 15, 2024
Updated: Oct 15, 2024