metadata
library_name: transformers
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camel_arabic_sentiment
results: []
camel_arabic_sentiment
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2742
- Accuracy: 0.9470
- F1 Macro: 0.9470
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.0903 | 1.0 | 5660 | 0.2167 | 0.9381 | 0.9381 |
| 0.094 | 2.0 | 11320 | 0.2472 | 0.9457 | 0.9457 |
| 0.1402 | 3.0 | 16980 | 0.2742 | 0.9470 | 0.9470 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1