| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: CAMeL-Lab/bert-base-arabic-camelbert-mix |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: arabertv2-sentiment |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # Fully-Supervised-Sentiment-Model |
|
|
| This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4552 |
| - Accuracy: 0.8825 |
| - Precision: 0.8864 |
| - Recall: 0.8825 |
| - F1: 0.8840 |
|
|
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 1234 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | 0.2713 | 1.0 | 38 | 0.4964 | 0.8075 | 0.8601 | 0.8075 | 0.8181 | |
| | 0.1571 | 2.0 | 76 | 0.3297 | 0.865 | 0.8904 | 0.865 | 0.8699 | |
| | 0.1626 | 3.0 | 114 | 0.3481 | 0.885 | 0.8984 | 0.885 | 0.8883 | |
| | 0.0892 | 4.0 | 152 | 0.5528 | 0.8825 | 0.8799 | 0.8825 | 0.8801 | |
| | 0.0119 | 5.0 | 190 | 0.4552 | 0.8825 | 0.8864 | 0.8825 | 0.8840 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.49.0 |
| - Pytorch 2.1.1+cu121 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.1 |
| |
