metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test
results: []
test
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: 0.4328
- Accuracy: 0.8571
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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 11 | 0.6631 | 0.6190 |
| No log | 2.0 | 22 | 0.4584 | 0.9048 |
| No log | 3.0 | 33 | 0.3879 | 0.8571 |
| No log | 4.0 | 44 | 0.3780 | 0.8571 |
| No log | 5.0 | 55 | 0.4273 | 0.8571 |
| No log | 6.0 | 66 | 0.3786 | 0.8571 |
| No log | 7.0 | 77 | 0.3273 | 0.8571 |
| No log | 8.0 | 88 | 0.4280 | 0.8571 |
| No log | 9.0 | 99 | 0.4328 | 0.8571 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1