darija_test2

smerchi/darija_test2

darija_test2 is a text classification model from smerchi. Use it when you need a label for a piece of text. It is set up for transformers.

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

Downloads · 30 days

4% of all-time downloads

All-time downloads

296

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

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jul 25, 2024
Updated: Jul 25, 2024
SHA: e73b1e50

Try a prompt

Base models

aubmindlab/bert-base-arabertv02

Model card

From the Hugging Face model README

darija_test2

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: 0.2769
Accuracy: 0.9556

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.123	1.0	169	0.2769	0.9556
0.0724	2.0	338	0.2281	0.9556
0.3313	3.0	507	0.1926	0.9556
0.1882	4.0	676	0.2005	0.9556
0.1326	5.0	845	0.2389	0.9556
0.1743	6.0	1014	0.2091	0.9556
0.4009	7.0	1183	0.1769	0.9556
0.0611	8.0	1352	0.2138	0.9556
0.2488	9.0	1521	0.2089	0.9556
0.0103	10.0	1690	0.2039	0.9556

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
Created: Jul 25, 2024
Updated: Jul 25, 2024