|
|
--- |
|
|
base_model: zohaib99k/Bert_Arabic-SQuADv2-QA |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: QA_FineTuned_Arabert |
|
|
results: [] |
|
|
language: |
|
|
- ar |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# QA_FineTuned_Arabert |
|
|
|
|
|
This model is a fine-tuned version of [zohaib99k/Bert_Arabic-SQuADv2-QA](https://huggingface.co/zohaib99k/Bert_Arabic-SQuADv2-QA) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.3343 |
|
|
|
|
|
## 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: 0.0002 |
|
|
- train_batch_size: 12 |
|
|
- eval_batch_size: 12 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 48 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 0.1603 | 0.46 | 10 | 2.7965 | |
|
|
| 0.3055 | 0.92 | 20 | 3.0322 | |
|
|
| 0.3091 | 1.38 | 30 | 2.8940 | |
|
|
| 0.2692 | 1.84 | 40 | 2.9621 | |
|
|
| 0.2198 | 2.3 | 50 | 2.9107 | |
|
|
| 0.2112 | 2.76 | 60 | 3.1322 | |
|
|
| 0.1576 | 3.22 | 70 | 3.2085 | |
|
|
| 0.1392 | 3.68 | 80 | 3.1323 | |
|
|
| 0.1474 | 4.14 | 90 | 3.2893 | |
|
|
| 0.0905 | 4.6 | 100 | 3.3343 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.39.3 |
|
|
- Pytorch 2.1.2 |
|
|
- Datasets 2.18.0 |
|
|
- Tokenizers 0.15.2 |
