metadata
base_model: CAMeL-Lab/bert-base-arabic-camelbert-mix
library_name: transformers
license: apache-2.0
metrics:
- accuracy
- f1
- precision
- recall
tags:
- generated_from_trainer
model-index:
- name: Monglish_Arabic_FAQ-V4
results: []
Monglish_Arabic_FAQ-V4
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-mix on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0409
- Accuracy: 0.9924
- F1: 0.9924
- Precision: 0.9936
- Recall: 0.9924
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5351 | 1.0 | 526 | 0.3388 | 0.9544 | 0.9536 | 0.9657 | 0.9544 |
| 0.0246 | 2.0 | 1052 | 0.1007 | 0.9772 | 0.9774 | 0.9840 | 0.9772 |
| 0.0102 | 3.0 | 1578 | 0.0579 | 0.9886 | 0.9887 | 0.9910 | 0.9886 |
| 0.0075 | 4.0 | 2104 | 0.0474 | 0.9924 | 0.9924 | 0.9936 | 0.9924 |
| 0.0071 | 5.0 | 2630 | 0.0409 | 0.9924 | 0.9924 | 0.9936 | 0.9924 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1