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--- |
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library_name: transformers |
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base_model: aubmindlab/bert-base-arabertv02 |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: fold_1 |
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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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# fold_1 |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5970 |
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- Accuracy: 0.8047 |
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- Precision: 0.8127 |
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- Recall: 0.7999 |
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- F1: 0.8023 |
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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: 3e-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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.0198 | 1.1628 | 50 | 0.8447 | 0.6095 | 0.6519 | 0.6191 | 0.5959 | |
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| 0.7783 | 2.3256 | 100 | 0.7763 | 0.7101 | 0.7495 | 0.7039 | 0.7108 | |
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| 0.5724 | 3.4884 | 150 | 0.6136 | 0.7988 | 0.8080 | 0.7961 | 0.7988 | |
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| 0.4886 | 4.6512 | 200 | 0.5970 | 0.8047 | 0.8127 | 0.7999 | 0.8023 | |
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### Framework versions |
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- Transformers 4.57.3 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.2 |
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