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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: bert_content |
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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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# bert_content |
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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: 1.6934 |
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- Macro F1: 0.5805 |
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- Macro Precision: 0.5862 |
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- Macro Recall: 0.5892 |
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- Accuracy: 0.5991 |
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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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| 1.2469 | 1.0 | 821 | 1.0233 | 0.5827 | 0.5896 | 0.5871 | 0.5991 | |
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| 0.8745 | 2.0 | 1642 | 1.0381 | 0.5912 | 0.6071 | 0.6001 | 0.6124 | |
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| 0.6973 | 3.0 | 2463 | 1.0917 | 0.5939 | 0.6149 | 0.6068 | 0.6191 | |
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| 0.4263 | 4.0 | 3284 | 1.3179 | 0.5801 | 0.5826 | 0.5951 | 0.6001 | |
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| 0.2791 | 5.0 | 4105 | 1.5275 | 0.5824 | 0.5921 | 0.5874 | 0.6019 | |
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| 0.2086 | 6.0 | 4926 | 1.6934 | 0.5805 | 0.5862 | 0.5892 | 0.5991 | |
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### Framework versions |
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- Transformers 4.50.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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