2levels_52521

Noorrabie/2levels_52521

2levels_52521 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: Mar 24, 2025
Updated: Mar 24, 2025
SHA: 95845e37

Base models

aubmindlab/bert-base-arabertv02

Model card

From the Hugging Face model README

2levels_52521

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: 0.9976
Macro F1: 0.8132
Macro Precision: 0.8220
Macro Recall: 0.8153
Accuracy: 0.8140

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
0.4301	1.0	821	0.3758	0.8300	0.8360	0.8315	0.8305
0.2994	2.0	1642	0.4510	0.8141	0.8311	0.8175	0.8157
0.2131	3.0	2463	0.5463	0.8077	0.8252	0.8113	0.8095
0.0958	4.0	3284	0.7365	0.8081	0.8229	0.8113	0.8096
0.055	5.0	4105	0.9349	0.8113	0.8245	0.8142	0.8126
0.0352	6.0	4926	0.9976	0.8132	0.8220	0.8153	0.8140

Framework versions

Transformers 4.43.4
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.19.1

Type: bert
Created: Mar 24, 2025
Updated: Mar 24, 2025