roberta-base-finetuned-paper

reyhanemyr/roberta-base-finetuned-paper

roberta-base-finetuned-paper is a token classification model from reyhanemyr. 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: roberta
Access: Public
Created: Mar 17, 2023
Updated: Mar 17, 2023
SHA: 65f86709

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Model card

From the Hugging Face model README

roberta-base-finetuned-paper

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

Loss: 0.1620
Precision: 0.7605
Recall: 0.8141
F1: 0.7864
Accuracy: 0.9765

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: 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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	73	0.1575	0.6484	0.5673	0.6051	0.9591
No log	2.0	146	0.0964	0.6723	0.7628	0.7147	0.9718
No log	3.0	219	0.1233	0.6447	0.7853	0.7081	0.9655
No log	4.0	292	0.1153	0.7563	0.7660	0.7611	0.9737
No log	5.0	365	0.1194	0.7265	0.8173	0.7692	0.9727
No log	6.0	438	0.1243	0.7286	0.8173	0.7704	0.9722
0.0974	7.0	511	0.1406	0.7202	0.7756	0.7469	0.9732
0.0974	8.0	584	0.1436	0.7406	0.7596	0.7500	0.9706
0.0974	9.0	657	0.1687	0.7524	0.7596	0.7560	0.9738
0.0974	10.0	730	0.1591	0.7394	0.7821	0.7601	0.9743
0.0974	11.0	803	0.1431	0.7619	0.8205	0.7901	0.9754
0.0974	12.0	876	0.1487	0.7477	0.7981	0.7721	0.9745
0.0974	13.0	949	0.1512	0.7764	0.8013	0.7886	0.9763
0.0043	14.0	1022	0.1532	0.7645	0.8013	0.7825	0.9754
0.0043	15.0	1095	0.1531	0.7720	0.8141	0.7925	0.9761
0.0043	16.0	1168	0.1590	0.7635	0.8173	0.7895	0.9756
0.0043	17.0	1241	0.1615	0.7559	0.8237	0.7883	0.9754
0.0043	18.0	1314	0.1624	0.7612	0.8173	0.7883	0.9759
0.0043	19.0	1387	0.1622	0.7574	0.8205	0.7877	0.9763
0.0043	20.0	1460	0.1620	0.7605	0.8141	0.7864	0.9765

Framework versions

Transformers 4.27.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 17, 2023
Updated: Mar 17, 2023