metadata
base_model: aubmindlab/bert-base-arabert
tags:
- generated_from_trainer
- >-
widget: - text: "ماهو العمل لبعض الوقت" context: "العمل الذي يؤديه عامل
غير متفرغ لدى صاحب عمل ولساعات عمل تقل عن نصف ساعات العمل اليومية المعتادة
لدى المنشأة، سواء كان هذا العامل يؤدي ساعات عمله يومياً أو بعض أيام
الأسبوع" example_title: "قانون العمل"
model-index:
- name: Labour-Law-SA-QA
results: []
language:
- ar
library_name: transformers
pipeline_tag: question-answering
Labour-Law-SA-QA
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1740
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| No log | 1.0 | 34 | 1.6275 |
| No log | 2.0 | 68 | 1.4822 |
| No log | 3.0 | 102 | 1.4659 |
| No log | 4.0 | 136 | 1.3038 |
| No log | 5.0 | 170 | 1.3173 |
| No log | 6.0 | 204 | 1.1665 |
| No log | 7.0 | 238 | 1.1344 |
| No log | 8.0 | 272 | 1.1346 |
| No log | 9.0 | 306 | 1.1740 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3