Omar-youssef
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End of training
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README.md
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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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<!-- 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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# QA_FineTuned_Arabertr
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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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model.safetensors
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