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--- |
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base_model: asafaya/bert-base-arabic |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Improved-ArabicBERT |
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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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# Improved-ArabicBERT |
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This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4876 |
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- Accuracy: 0.85 |
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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: 2e-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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 0.07 | 50 | 0.3703 | 0.83 | |
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| No log | 0.14 | 100 | 0.3510 | 0.81 | |
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| No log | 0.21 | 150 | 0.3678 | 0.81 | |
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| No log | 0.27 | 200 | 0.3237 | 0.85 | |
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| No log | 0.34 | 250 | 0.2939 | 0.86 | |
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| No log | 0.41 | 300 | 0.3302 | 0.83 | |
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| No log | 0.48 | 350 | 0.3519 | 0.85 | |
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| No log | 0.55 | 400 | 0.3530 | 0.85 | |
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| No log | 0.62 | 450 | 0.3068 | 0.85 | |
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| 0.3656 | 0.68 | 500 | 0.3368 | 0.86 | |
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| 0.3656 | 0.75 | 550 | 0.3254 | 0.86 | |
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| 0.3656 | 0.82 | 600 | 0.3363 | 0.85 | |
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| 0.3656 | 0.89 | 650 | 0.3309 | 0.89 | |
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| 0.3656 | 0.96 | 700 | 0.2996 | 0.89 | |
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| 0.3656 | 1.03 | 750 | 0.4742 | 0.81 | |
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| 0.3656 | 1.1 | 800 | 0.4376 | 0.86 | |
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| 0.3656 | 1.16 | 850 | 0.3502 | 0.85 | |
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| 0.3656 | 1.23 | 900 | 0.5407 | 0.83 | |
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| 0.3656 | 1.3 | 950 | 0.4876 | 0.85 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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