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--- |
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base_model: aubmindlab/bert-base-arabertv2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- arcd |
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model-index: |
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- name: rinna-AraBert-qa-ar4 |
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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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# rinna-AraBert-qa-ar4 |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the arcd dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.1639 |
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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: 7e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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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_steps: 100 |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3751 | 6.88 | 150 | 3.4763 | |
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| 0.2526 | 13.75 | 300 | 4.7270 | |
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| 0.1059 | 20.63 | 450 | 5.7927 | |
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| 0.0604 | 27.51 | 600 | 5.6757 | |
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| 0.0347 | 34.38 | 750 | 6.0637 | |
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| 0.0163 | 41.26 | 900 | 6.3835 | |
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| 0.0116 | 48.14 | 1050 | 6.7934 | |
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| 0.0024 | 55.01 | 1200 | 6.8119 | |
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| 0.0021 | 61.89 | 1350 | 6.9426 | |
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| 0.0042 | 68.77 | 1500 | 6.8997 | |
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| 0.0033 | 75.64 | 1650 | 6.8969 | |
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| 0.0055 | 82.52 | 1800 | 7.0831 | |
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| 0.0012 | 89.4 | 1950 | 7.0766 | |
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| 0.0014 | 96.28 | 2100 | 7.1639 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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