|
--- |
|
base_model: asafaya/bert-base-arabic |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
- accuracy |
|
model-index: |
|
- name: bert-base-arabic-finetuned |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# bert-base-arabic-finetuned |
|
|
|
This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/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 |
|
|
