punjabi-muril-ner – AI Model by mirfan899 | AlphaNeural AI

You can deploy this model and start earning money today!

mirfan899/
punjabi-muril-ner

like

0

token-classification

generated_from_trainer

google/muril-base-cased

autotrain_compatible

endpoints_compatible

Views

No views yet

punjabi-muril-ner

This model is a fine-tuned version of google/muril-base-cased on an punjabi-ner dataset. It achieves the following results on the evaluation set:

Loss: 0.0654
Precision: 0.7923
Recall: 0.8113
F1: 0.8017
Accuracy: 0.9859

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3366	1.0	1613	0.2698	0.0	0.0	0.0	0.9551
0.1552	2.0	3226	0.1180	0.7114	0.4972	0.5853	0.9763
0.0959	3.0	4839	0.0904	0.7262	0.7161	0.7211	0.9829
0.0708	4.0	6452	0.0751	0.7679	0.7498	0.7587	0.9840
0.0474	5.0	8065	0.0672	0.7907	0.7731	0.7818	0.9854
0.0367	6.0	9678	0.0627	0.7870	0.8045	0.7957	0.9856
0.0308	7.0	11291	0.0598	0.7942	0.7915	0.7928	0.9859
0.0247	8.0	12904	0.0612	0.7891	0.8123	0.8005	0.9860
0.0202	9.0	14517	0.0666	0.8015	0.8015	0.8015	0.9860
0.0181	10.0	16130	0.0654	0.7923	0.8113	0.8017	0.9859

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1