Improved-ArabicBERT – AI Model by Anwaarma | AlphaNeural AI

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Anwaarma/
Improved-ArabicBERT

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text-classification

generated_from_trainer

asafaya/bert-base-arabic

autotrain_compatible

endpoints_compatible

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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