AraElectra-QA-EgyLaw-Squad
This model is a fine-tuned version of ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA on the Egyption Law Squad dataset. It achieves the following results on the evaluation set:
- Loss: 4.0008
Model description
Araelctra model for Question Answering Task in Egyption law specially Personal Status Law (ูุงููู ุงูุงุญูุงู ุงูุดุฎุตูุฉ)
this Model was created for a Graduation Project in Computers and Artificial intellgence at Helwan University under supervisation from Dr.Ensaf Hossen
About Team
- Abdelrahman Ahmed Hamdy
- Shehab Gamal-elden
- Mohsen Hisham Mohamed
- Maya Ahmed Abdelsatar
- Nancy Ahmed Mostafa
- Nour Khaled Ali
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 89 | 3.2762 |
| 3.9126 | 2.0 | 178 | 3.0150 |
| 2.5679 | 3.0 | 267 | 2.8324 |
| 1.7576 | 4.0 | 356 | 2.9655 |
| 1.1946 | 5.0 | 445 | 3.1643 |
| 0.8854 | 6.0 | 534 | 3.0778 |
| 0.7387 | 7.0 | 623 | 3.2814 |
| 0.6067 | 8.0 | 712 | 3.2391 |
| 0.5201 | 9.0 | 801 | 3.3717 |
| 0.5201 | 10.0 | 890 | 3.5752 |
| 0.4377 | 11.0 | 979 | 3.6657 |
| 0.4025 | 12.0 | 1068 | 3.8178 |
| 0.4077 | 13.0 | 1157 | 3.7404 |
| 0.3355 | 14.0 | 1246 | 3.7566 |
| 0.3627 | 15.0 | 1335 | 3.9959 |
| 0.3376 | 16.0 | 1424 | 3.8815 |
| 0.3676 | 17.0 | 1513 | 3.9674 |
| 0.3165 | 18.0 | 1602 | 3.9368 |
| 0.3165 | 19.0 | 1691 | 3.9836 |
| 0.3148 | 20.0 | 1780 | 4.0008 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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