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--- |
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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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model-index: |
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- name: test |
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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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# test |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4328 |
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- Accuracy: 0.8571 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 9 |
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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 | 1.0 | 11 | 0.6631 | 0.6190 | |
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| No log | 2.0 | 22 | 0.4584 | 0.9048 | |
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| No log | 3.0 | 33 | 0.3879 | 0.8571 | |
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| No log | 4.0 | 44 | 0.3780 | 0.8571 | |
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| No log | 5.0 | 55 | 0.4273 | 0.8571 | |
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| No log | 6.0 | 66 | 0.3786 | 0.8571 | |
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| No log | 7.0 | 77 | 0.3273 | 0.8571 | |
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| No log | 8.0 | 88 | 0.4280 | 0.8571 | |
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| No log | 9.0 | 99 | 0.4328 | 0.8571 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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