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End of training

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README.md ADDED
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+ ---
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+ base_model: aubmindlab/araelectra-base-generator
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: QA_FineTuned_AraElectra
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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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+ # QA_FineTuned_AraElectra
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+
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+ This model is a fine-tuned version of [aubmindlab/araelectra-base-generator](https://huggingface.co/aubmindlab/araelectra-base-generator) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.7412
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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: 0.0002
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+ - train_batch_size: 12
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+ - eval_batch_size: 12
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 48
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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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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+ | 2.4646 | 0.46 | 10 | 3.6378 |
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+ | 2.3471 | 0.92 | 20 | 3.7147 |
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+ | 2.0415 | 1.38 | 30 | 3.5732 |
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+ | 1.7322 | 1.84 | 40 | 3.6297 |
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+ | 1.5186 | 2.3 | 50 | 3.7015 |
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+ | 1.3975 | 2.76 | 60 | 3.7349 |
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+ | 1.3371 | 3.22 | 70 | 3.6949 |
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+ | 1.1967 | 3.68 | 80 | 3.7225 |
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+ | 1.1798 | 4.14 | 90 | 3.8054 |
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+ | 1.0775 | 4.6 | 100 | 3.7412 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2+cpu
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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