bert-large-pt-archive

lfcc/bert-large-pt-archive

bert-large-pt-archive is a token classification model from lfcc. 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. --

Downloads · 30 days

4% of all-time downloads

All-time downloads

427

Public

Repo size

2.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Mar 2, 2022
Updated: Dec 11, 2021
SHA: 48da7224

Try a prompt

Model card

From the Hugging Face model README

bert-large-pt-archive

This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on an unkown dataset. It achieves the following results on the evaluation set:

Loss: 0.0869
Precision: 0.9280
Recall: 0.9541
F1: 0.9409
Accuracy: 0.9767

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: 4
eval_batch_size: 4
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
0.0665	1.0	765	0.1020	0.8928	0.9566	0.9236	0.9696
0.0392	2.0	1530	0.0781	0.9229	0.9586	0.9404	0.9757
0.0201	3.0	2295	0.0809	0.9278	0.9550	0.9412	0.9767
0.0152	4.0	3060	0.0869	0.9280	0.9541	0.9409	0.9767

Framework versions

Transformers 4.10.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.10.2
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Mar 2, 2022
Updated: Dec 11, 2021