AraElectra-Arabic-SQuADv2-QA-finetuned-squad
This model is a fine-tuned version of ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3131
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 144 | 0.9565 |
| No log | 2.0 | 288 | 1.0444 |
| No log | 3.0 | 432 | 1.2422 |
| 0.6612 | 4.0 | 576 | 1.3131 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for Mohamed-Maher/AraElectra-Arabic-SQuADv2-QA-finetuned-squad
Base model
ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA