xlm-roberta-large-finetuned-ner – AI Model by Surabhii | AlphaNeural AI

You can deploy this model and start earning money today!

Surabhii/
xlm-roberta-large-finetuned-ner

like

0

token-classification

generated_from_trainer

hi_ner-original

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-large-finetuned-ner

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

Loss: 0.1611
Precision: 0.8739
Recall: 0.8901
F1: 0.8819
Accuracy: 0.9663

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1139	1.4768	7000	0.1289	0.8508	0.8893	0.8696	0.9627
0.0838	2.9536	14000	0.1221	0.8740	0.8895	0.8817	0.9668
0.0481	4.4304	21000	0.1460	0.8688	0.8929	0.8807	0.9657
0.0372	5.9072	28000	0.1619	0.8737	0.8902	0.8819	0.9664

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0