2levels_26260

Noorrabie/2levels_26260

2levels_26260 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. --

Downloads · 30 days

29% of all-time downloads

All-time downloads

Public

Parameters

135M

541 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors541 MB · 100%

At a glance

Model type: bert
Access: Public
Created: Mar 24, 2025
Updated: Mar 24, 2025
SHA: fad0c9b1

Base models

aubmindlab/bert-base-arabertv02

Model card

From the Hugging Face model README

2levels_26260

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: 0.9906
Macro F1: 0.8031
Macro Precision: 0.8191
Macro Recall: 0.8065
Accuracy: 0.8047

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
No log	1.0	411	0.4004	0.8111	0.8211	0.8134	0.8120
0.4173	2.0	822	0.4100	0.8204	0.8321	0.8229	0.8214
0.2747	3.0	1233	0.5065	0.8178	0.8298	0.8204	0.8189
0.1498	4.0	1644	0.6896	0.8100	0.8197	0.8123	0.8109
0.0747	5.0	2055	0.9460	0.8000	0.8182	0.8038	0.8020
0.0747	6.0	2466	0.9906	0.8031	0.8191	0.8065	0.8047

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