metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: darija_test2
results: []
darija_test2
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2769
- Accuracy: 0.9556
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: 0.0003
- 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.123 | 1.0 | 169 | 0.2769 | 0.9556 |
| 0.0724 | 2.0 | 338 | 0.2281 | 0.9556 |
| 0.3313 | 3.0 | 507 | 0.1926 | 0.9556 |
| 0.1882 | 4.0 | 676 | 0.2005 | 0.9556 |
| 0.1326 | 5.0 | 845 | 0.2389 | 0.9556 |
| 0.1743 | 6.0 | 1014 | 0.2091 | 0.9556 |
| 0.4009 | 7.0 | 1183 | 0.1769 | 0.9556 |
| 0.0611 | 8.0 | 1352 | 0.2138 | 0.9556 |
| 0.2488 | 9.0 | 1521 | 0.2089 | 0.9556 |
| 0.0103 | 10.0 | 1690 | 0.2039 | 0.9556 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1