metadata
base_model: aubmindlab/bert-base-arabertv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: article_classificationv0
results: []
article_classificationv0
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on Egyptain news dataset. trained to classift article on 5 classes (economy, culture , health, invistigation, accidents ) It achieves the following results on the evaluation set:
- Loss: 0.1126
- Accuracy: 0.9690
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1795 | 1.0 | 1124 | 0.1641 | 0.9560 |
| 0.0919 | 2.0 | 2248 | 0.1126 | 0.9690 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1