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multilingual_arabic_SEQUENCE_classification_model
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2170
- Precision: 0.9107
- Recall: 0.9548
- F1: 0.9322
- Accuracy: 0.9306
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.298 | 1.0 | 1850 | 0.2373 | 0.8927 | 0.9359 | 0.9138 | 0.9117 |
| 0.2054 | 2.0 | 3700 | 0.2170 | 0.9107 | 0.9548 | 0.9322 | 0.9306 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
