Omar-youssef commited on
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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/bert-base-arabert
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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_Arabertr
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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_Arabertr
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.8357
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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: 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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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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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+ | 5.518 | 0.13 | 10 | 4.3573 |
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+ | 4.254 | 0.27 | 20 | 3.8054 |
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+ | 3.9915 | 0.4 | 30 | 3.5788 |
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+ | 3.836 | 0.53 | 40 | 3.4054 |
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+ | 3.6733 | 0.67 | 50 | 3.2506 |
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+ | 3.4425 | 0.8 | 60 | 3.0882 |
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+ | 3.2917 | 0.93 | 70 | 2.9934 |
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+ | 2.9622 | 1.07 | 80 | 3.0029 |
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+ | 2.3228 | 1.2 | 90 | 3.1190 |
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+ | 2.4004 | 1.33 | 100 | 2.8613 |
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+ | 2.3946 | 1.47 | 110 | 2.8983 |
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+ | 2.3108 | 1.6 | 120 | 2.7711 |
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+ | 2.3778 | 1.73 | 130 | 2.7062 |
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+ | 2.3335 | 1.87 | 140 | 2.9916 |
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+ | 2.4273 | 2.0 | 150 | 2.6713 |
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+ | 1.4165 | 2.13 | 160 | 2.8003 |
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+ | 1.1488 | 2.27 | 170 | 2.7959 |
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+ | 1.2044 | 2.4 | 180 | 3.1311 |
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+ | 1.2715 | 2.53 | 190 | 2.8319 |
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+ | 1.1309 | 2.67 | 200 | 2.8048 |
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+ | 1.3421 | 2.8 | 210 | 2.8158 |
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+ | 0.9567 | 2.93 | 220 | 2.8357 |
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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
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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