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README.md ADDED
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+ ---
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+ base_model: ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: AraElectra-Arabic-SQuADv2-QA-finetuned-squad
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # AraElectra-Arabic-SQuADv2-QA-finetuned-squad
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.3944
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 45 | 3.6364 |
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+ | No log | 2.0 | 90 | 3.3958 |
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+ | No log | 3.0 | 135 | 3.4381 |
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+ | No log | 4.0 | 180 | 3.3944 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.2
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+ "ElectraForQuestionAnswering"
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+ ],
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.1",
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+ "type_vocab_size": 2,
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+ "vocab_size": 64000
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+ }
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