bert-base-arabic-TunDC – AI Model by AhmedBou | AlphaNeural AI

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AhmedBou/
bert-base-arabic-TunDC

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text-classification

generated_from_trainer

asafaya/bert-base-arabic

autotrain_compatible

endpoints_compatible

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bert-base-arabic-TunDC

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

Loss: 0.5931

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.4712	1.0	1754	0.5598
0.3853	2.0	3508	0.5205
0.434	3.0	5262	0.5253
0.6624	4.0	7016	0.6354
0.374	5.0	8770	0.5931

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0

Classification Report

Metric	Precision	Recall	F1-Score	Support
Class 0	0.81	0.83	0.82	3311
Class 1	0.78	0.77	0.78	2703
Accuracy			0.80	6014
Macro Avg	0.80	0.80	0.80	6014
Weighted Avg	0.80	0.80	0.80	6014