metadata
library_name: transformers
base_model: asafaya/bert-large-arabic
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: darija_test8
results: []
darija_test8
This model is a fine-tuned version of asafaya/bert-large-arabic on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
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: 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 281 | 0.0390 | 0.9929 |
| 0.0967 | 2.0 | 562 | 0.0139 | 0.9982 |
| 0.0967 | 3.0 | 843 | 0.0008 | 1.0 |
| 0.0216 | 4.0 | 1124 | 0.0000 | 1.0 |
| 0.0216 | 5.0 | 1405 | 0.0000 | 1.0 |
| 0.0032 | 6.0 | 1686 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1