--- base_model: ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA tags: - generated_from_trainer model-index: - name: AraElectra-Arabic-SQuADv2-QA-finetuned-squad results: [] --- # AraElectra-Arabic-SQuADv2-QA-finetuned-squad This model is a fine-tuned version of [ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA](https://huggingface.co/ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.3944 ## 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: 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: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 45 | 3.6364 | | No log | 2.0 | 90 | 3.3958 | | No log | 3.0 | 135 | 3.4381 | | No log | 4.0 | 180 | 3.3944 | ### Framework versions - Transformers 4.38.1 - Pytorch 2.1.2 - Datasets 2.1.0 - Tokenizers 0.15.2