ner-deBERTa-v3-large-conll2003 – AI Model by alphaduriendur | AlphaNeural AI

You can deploy this model and start earning money today!

alphaduriendur/
ner-deBERTa-v3-large-conll2003

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

ner-deBERTa-v3-large-conll2003

This model is a fine-tuned version of microsoft/deberta-v3-large on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.1546
Precision: 0.9235
Recall: 0.9363
F1: 0.9298
Accuracy: 0.9853

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0077	1.0	878	0.1280	0.9096	0.9265	0.9180	0.9832
0.0084	2.0	1756	0.1380	0.9167	0.9299	0.9233	0.9844
0.0037	3.0	2634	0.1495	0.9221	0.9347	0.9283	0.9850
0.0015	4.0	3512	0.1517	0.9215	0.9347	0.9280	0.9849
0.0006	5.0	4390	0.1546	0.9235	0.9363	0.9298	0.9853

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3