indobert-finetuned-pos

rahmanfadhil/indobert-finetuned-pos

indobert-finetuned-pos is a token classification model from rahmanfadhil. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jan 11, 2023
Updated: Jan 12, 2023
SHA: 587846c9

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Datasets

indonlu

Model card

From the Hugging Face model README

indobert-finetuned-pos

This model is a fine-tuned version of indobenchmark/indobert-base-p2 on the indonlu dataset. It achieves the following results on the evaluation set:

Loss: 0.1762
Precision: 0.9477
Recall: 0.9477
F1: 0.9477
Accuracy: 0.9477

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	420	0.2238	0.9278	0.9278	0.9278	0.9278
0.3621	2.0	840	0.1806	0.9437	0.9437	0.9437	0.9437
0.1504	3.0	1260	0.1762	0.9477	0.9477	0.9477	0.9477

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Jan 11, 2023
Updated: Jan 12, 2023