roberta-large-md-conllpp

luffycodes/roberta-large-md-conllpp

roberta-large-md-conllpp is a token classification model from luffycodes. 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

1% of all-time downloads

All-time downloads

548

Public

Repo size

2.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.4 GB · 100%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Sep 1, 2022
Updated: Sep 1, 2022
SHA: 69893499

Try a prompt

Datasets

conllpp

Model card

From the Hugging Face model README

roberta-large-md-conllpp

This model is a fine-tuned version of roberta-large on the conllpp dataset. It achieves the following results on the evaluation set:

Loss: 0.0457
Precision: 0.9971
Recall: 0.9968
F1: 0.9970
Accuracy: 0.9950

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: 1e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0748	1.0	878	0.0309	0.9959	0.9962	0.9961	0.9935
0.0111	2.0	1756	0.0346	0.9974	0.9967	0.9970	0.9951
0.0057	3.0	2634	0.0348	0.9974	0.9960	0.9967	0.9946
0.0031	4.0	3512	0.0434	0.9976	0.9964	0.9970	0.9951
0.0017	5.0	4390	0.0457	0.9971	0.9968	0.9970	0.9950

Framework versions

Transformers 4.21.2
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Sep 1, 2022
Updated: Sep 1, 2022