og-deberta-extra-o

muks14/og-deberta-extra-o

og-deberta-extra-o is a token classification model from muks14. 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: deberta
Access: Public
Created: Oct 31, 2022
Updated: Oct 31, 2022
SHA: 485e9c4e

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Model card

From the Hugging Face model README

og-deberta-extra-o

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

Loss: 0.5184
Precision: 0.5981
Recall: 0.6667
F1: 0.6305
Accuracy: 0.9226

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: 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: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	55	0.4813	0.2863	0.3467	0.3136	0.8720
No log	2.0	110	0.3469	0.4456	0.4587	0.4520	0.9010
No log	3.0	165	0.3166	0.5206	0.5387	0.5295	0.9147
No log	4.0	220	0.3338	0.4899	0.584	0.5328	0.9087
No log	5.0	275	0.3166	0.5625	0.648	0.6022	0.9198
No log	6.0	330	0.3464	0.5707	0.6027	0.5863	0.9207
No log	7.0	385	0.3548	0.5489	0.6133	0.5793	0.9207
No log	8.0	440	0.4005	0.6125	0.6027	0.6075	0.9210
No log	9.0	495	0.4185	0.5763	0.6347	0.6041	0.9171
0.2019	10.0	550	0.4174	0.5596	0.6507	0.6017	0.9179
0.2019	11.0	605	0.4558	0.5603	0.632	0.5940	0.9179
0.2019	12.0	660	0.4615	0.5632	0.6533	0.6049	0.9166
0.2019	13.0	715	0.4899	0.5815	0.6187	0.5995	0.9208
0.2019	14.0	770	0.4800	0.5581	0.64	0.5963	0.9186
0.2019	15.0	825	0.4752	0.5905	0.6613	0.6239	0.9212
0.2019	16.0	880	0.5014	0.5773	0.6373	0.6058	0.9174
0.2019	17.0	935	0.5095	0.5917	0.6453	0.6173	0.9195
0.2019	18.0	990	0.5249	0.5807	0.6427	0.6101	0.9203
0.0077	19.0	1045	0.5086	0.5761	0.656	0.6135	0.9222
0.0077	20.0	1100	0.5108	0.5962	0.6693	0.6307	0.9219
0.0077	21.0	1155	0.5144	0.5977	0.6853	0.6385	0.9231
0.0077	22.0	1210	0.5176	0.5990	0.6613	0.6286	0.9229
0.0077	23.0	1265	0.5171	0.6039	0.6667	0.6337	0.9226
0.0077	24.0	1320	0.5184	0.6043	0.672	0.6364	0.9226
0.0077	25.0	1375	0.5184	0.5981	0.6667	0.6305	0.9226

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Token Classification
Library: transformers
Type: deberta
License: mit
Created: Oct 31, 2022
Updated: Oct 31, 2022