content_BARECX

Noorrabie/content_BARECX

content_BARECX is a machine learning model from Noorrabie. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Model type: bert
Access: Public
Created: Apr 17, 2026
Updated: Apr 20, 2026
SHA: d4bbac50

Base models

aubmindlab/bert-base-arabertv02

Model card

From the Hugging Face model README

content_BARECX

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5934
Macro F1: 0.5262
Macro Precision: 0.5513
Macro Recall: 0.5114
Accuracy: 0.5369

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: 64
eval_batch_size: 16
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	Macro F1	Macro Precision	Macro Recall	Accuracy
1.339	1.0	835	1.2243	0.5097	0.5587	0.4976	0.5204
1.0053	2.0	1670	1.1786	0.5246	0.5523	0.5095	0.5367
0.7992	3.0	2505	1.2449	0.5330	0.5564	0.5236	0.5417
0.6304	4.0	3340	1.3653	0.5256	0.5470	0.5161	0.5331
0.5	5.0	4175	1.4955	0.5232	0.5544	0.5034	0.5341
0.4214	6.0	5010	1.5934	0.5262	0.5513	0.5114	0.5369

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu118
Datasets 3.0.2
Tokenizers 0.19.1

Type: bert
Created: Apr 17, 2026
Updated: Apr 20, 2026