Downloads · 30 days
7
3% of all-time downloads
Monglish_Arabic_FAQ
Ahmedhany216/Monglish_Arabic_FAQ
Monglish_Arabic_FAQ is a text classification model from Ahmedhany216. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
251
Public
Parameters
109M
2.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024
- SHA
- ccb4c34a
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Monglish_Arabic_FAQ
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0526
- Accuracy: 0.9885
- F1: 0.9884
- Precision: 0.9888
- Recall: 0.9885
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1639 | 1.0 | 520 | 0.3404 | 0.9577 | 0.9573 | 0.9696 | 0.9577 |
| 0.0438 | 2.0 | 1040 | 0.0681 | 0.9885 | 0.9886 | 0.9891 | 0.9885 |
| 0.021 | 3.0 | 1560 | 0.0526 | 0.9885 | 0.9884 | 0.9888 | 0.9885 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024