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--- |
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library_name: transformers |
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base_model: aubmindlab/bert-large-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: EOS_bert |
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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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# EOS_bert |
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This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0007 |
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- Accuracy: 1.0 |
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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: Use adamw_torch 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: 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 | 1.0 | 57 | 0.5427 | 0.81 | |
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| No log | 2.0 | 114 | 0.3237 | 0.91 | |
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| No log | 3.0 | 171 | 0.1998 | 0.97 | |
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| No log | 4.0 | 228 | 0.0504 | 1.0 | |
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| No log | 5.0 | 285 | 0.0290 | 1.0 | |
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| No log | 6.0 | 342 | 0.0033 | 1.0 | |
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| No log | 7.0 | 399 | 0.0026 | 1.0 | |
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| No log | 8.0 | 456 | 0.0009 | 1.0 | |
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| 0.2254 | 9.0 | 513 | 0.0007 | 1.0 | |
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| 0.2254 | 10.0 | 570 | 0.0007 | 1.0 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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