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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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model-index: |
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- name: shared-task_content_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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# shared-task_content_bert |
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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: 1.6166 |
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- Macro F1: 0.5238 |
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- Macro Precision: 0.5506 |
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- Macro Recall: 0.5088 |
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- Accuracy: 0.5373 |
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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: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:| |
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| 1.3557 | 1.0 | 857 | 1.1959 | 0.5085 | 0.5507 | 0.4906 | 0.5293 | |
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| 1.006 | 2.0 | 1714 | 1.1857 | 0.5130 | 0.5522 | 0.5042 | 0.5339 | |
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| 0.8063 | 3.0 | 2571 | 1.2605 | 0.5181 | 0.5385 | 0.5079 | 0.5321 | |
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| 0.6613 | 4.0 | 3428 | 1.3541 | 0.5206 | 0.5486 | 0.5064 | 0.5346 | |
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| 0.5106 | 5.0 | 4285 | 1.5204 | 0.5151 | 0.5460 | 0.4981 | 0.5304 | |
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| 0.4373 | 6.0 | 5142 | 1.6166 | 0.5238 | 0.5506 | 0.5088 | 0.5373 | |
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### Framework versions |
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- Transformers 4.53.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.2 |
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