RoBERTa_token_classification_AraEval24 – AI Model by MM2157 | AlphaNeural AI

You can deploy this model and start earning money today!

MM2157/
RoBERTa_token_classification_AraEval24

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

RoBERTa_token_classification_AraEval24

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2426
Precision: 0.0806
Recall: 0.0817
F1: 0.0811
Accuracy: 0.7135

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
1.1758	1.0	664	0.9597	0.0604	0.0169	0.0264	0.7783
1.0125	2.0	1328	0.9865	0.0674	0.0677	0.0676	0.7377
0.8824	3.0	1992	0.9705	0.0801	0.0553	0.0654	0.7506
0.6425	4.0	2656	1.0209	0.0755	0.0732	0.0744	0.7298
0.582	5.0	3320	1.0497	0.0780	0.0672	0.0722	0.7478
0.5384	6.0	3984	1.0894	0.0777	0.0672	0.0721	0.7360
0.404	7.0	4648	1.1506	0.0767	0.0807	0.0786	0.7103
0.3884	8.0	5312	1.1851	0.0752	0.0782	0.0767	0.7121
0.3699	9.0	5976	1.2204	0.0789	0.0772	0.0780	0.7158
0.2998	10.0	6640	1.2426	0.0806	0.0817	0.0811	0.7135

Framework versions

Transformers 4.30.2
Pytorch 1.12.1
Datasets 2.13.2
Tokenizers 0.13.3