metadata
base_model: asafaya/bert-base-arabic
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-base-arabic-finetuned
results: []
bert-base-arabic-finetuned
This model is a fine-tuned version of asafaya/bert-base-arabic on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1660
- F1: 0.7561
- Roc Auc: 0.8464
- Accuracy: 0.7180
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: 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 | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1932 | 1.0 | 1133 | 0.1840 | 0.7144 | 0.8252 | 0.6703 |
| 0.1397 | 2.0 | 2266 | 0.1660 | 0.7561 | 0.8464 | 0.7180 |
| 0.0887 | 3.0 | 3399 | 0.1835 | 0.7487 | 0.8508 | 0.7269 |
| 0.0572 | 4.0 | 4532 | 0.2149 | 0.7356 | 0.8434 | 0.7200 |
| 0.0351 | 5.0 | 5665 | 0.2297 | 0.7377 | 0.8453 | 0.7249 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2