Improved-ArabicBERT

Anwaarma/Improved-ArabicBERT

Improved-ArabicBERT is a text classification model from Anwaarma. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Nov 22, 2023
Updated: Nov 22, 2023
SHA: 8af8c92a

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Base models

asafaya/bert-base-arabic

Model card

From the Hugging Face model README

Improved-ArabicBERT

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

Loss: 0.4876
Accuracy: 0.85

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: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.07	50	0.3703	0.83
No log	0.14	100	0.3510	0.81
No log	0.21	150	0.3678	0.81
No log	0.27	200	0.3237	0.85
No log	0.34	250	0.2939	0.86
No log	0.41	300	0.3302	0.83
No log	0.48	350	0.3519	0.85
No log	0.55	400	0.3530	0.85
No log	0.62	450	0.3068	0.85
0.3656	0.68	500	0.3368	0.86
0.3656	0.75	550	0.3254	0.86
0.3656	0.82	600	0.3363	0.85
0.3656	0.89	650	0.3309	0.89
0.3656	0.96	700	0.2996	0.89
0.3656	1.03	750	0.4742	0.81
0.3656	1.1	800	0.4376	0.86
0.3656	1.16	850	0.3502	0.85
0.3656	1.23	900	0.5407	0.83
0.3656	1.3	950	0.4876	0.85

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
Created: Nov 22, 2023
Updated: Nov 22, 2023