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--- |
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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: fine-tuned-arabert_mixdata_latest |
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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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# fine-tuned-arabert_mixdata_latest |
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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: 0.1937 |
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- Accuracy: 0.9572 |
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- Precision: 0.9695 |
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- Recall: 0.9612 |
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- F1: 0.9653 |
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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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- 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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| 0.159 | 1.0 | 64776 | 0.1417 | 0.9537 | 0.9620 | 0.9633 | 0.9627 | |
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| 0.1303 | 2.0 | 129552 | 0.1743 | 0.9551 | 0.9697 | 0.9575 | 0.9636 | |
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| 0.1135 | 3.0 | 194328 | 0.1615 | 0.9570 | 0.9652 | 0.9654 | 0.9653 | |
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| 0.0957 | 4.0 | 259104 | 0.1937 | 0.9572 | 0.9695 | 0.9612 | 0.9653 | |
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### Framework versions |
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- Transformers 4.19.3 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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