SciBERT-ES-TweetAreas

alecmontero/SciBERT-ES-TweetAreas

SciBERT-ES-TweetAreas is a text classification model from alecmontero. 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. --

Downloads · 30 days

7% of all-time downloads

All-time downloads

Public

Parameters

178M

712 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors711 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 11, 2024
Updated: Jul 23, 2024
SHA: a21287b8

Try a prompt

Base models

google-bert/bert-base-multilingual-cased

Datasets

alecmontero/dataset_tweetsmx_areasCPC

Model card

From the Hugging Face model README

results

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

Loss: 0.1516
Roc Auc: 0.8130
Hamming Loss: 0.0509
F1 Score: 0.6969
Accuracy: 0.4418
Precision: 0.8279
Recall: 0.6583

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: 5e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Roc Auc	Hamming Loss	F1 Score	Accuracy	Precision	Recall
No log	1.0	374	0.2285	0.6386	0.0822	0.3390	0.2731	0.8932	0.3080
0.2678	2.0	748	0.1870	0.7175	0.0679	0.5123	0.3481	0.7842	0.4679
0.1722	3.0	1122	0.1727	0.7839	0.0607	0.6116	0.3949	0.7611	0.6096
0.1722	4.0	1496	0.1577	0.7865	0.0545	0.6408	0.4137	0.8178	0.6096
0.1236	5.0	1870	0.1537	0.8055	0.0523	0.6798	0.4230	0.8250	0.6423
0.0847	6.0	2244	0.1570	0.8069	0.0541	0.6695	0.4297	0.7839	0.6503
0.063	7.0	2618	0.1516	0.8130	0.0509	0.6969	0.4418	0.8279	0.6583
0.063	8.0	2992	0.1531	0.8147	0.0512	0.6856	0.4458	0.7982	0.6622
0.0465	9.0	3366	0.1526	0.8427	0.0489	0.7544	0.4565	0.8190	0.7174
0.0349	10.0	3740	0.1534	0.8349	0.0498	0.7414	0.4431	0.8212	0.7023

Framework versions

Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Languages: es
Created: Jul 11, 2024
Updated: Jul 23, 2024