metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: stepanom_model
results: []
widget:
- text: هل يمكنك تتبع بطاقتي من أجلي؟
stepanom_model
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: 0.2797
- Accuracy: 0.9348
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: 2.937e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3672 | 1.0 | 539 | 0.7685 | 0.8328 |
| 0.5966 | 2.0 | 1078 | 0.4007 | 0.8982 |
| 0.3074 | 3.0 | 1617 | 0.3301 | 0.9149 |
| 0.1851 | 4.0 | 2156 | 0.3010 | 0.9249 |
| 0.1099 | 5.0 | 2695 | 0.2945 | 0.9274 |
| 0.0758 | 6.0 | 3234 | 0.2832 | 0.9321 |
| 0.044 | 7.0 | 3773 | 0.2797 | 0.9348 |
| 0.0285 | 8.0 | 4312 | 0.2868 | 0.9337 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2