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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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model-index: |
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- name: final_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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# final_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: 1.6152 |
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- Macro F1: 0.5213 |
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- Macro Precision: 0.5425 |
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- Macro Recall: 0.5095 |
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- Accuracy: 0.5338 |
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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: 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: 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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| 1.3421 | 1.0 | 857 | 1.2154 | 0.5000 | 0.5659 | 0.4801 | 0.5164 | |
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| 1.0055 | 2.0 | 1714 | 1.1822 | 0.5240 | 0.5613 | 0.5087 | 0.5410 | |
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| 0.8008 | 3.0 | 2571 | 1.2802 | 0.5120 | 0.5371 | 0.5012 | 0.5272 | |
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| 0.6593 | 4.0 | 3428 | 1.3946 | 0.5227 | 0.5451 | 0.5131 | 0.5391 | |
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| 0.5051 | 5.0 | 4285 | 1.5192 | 0.5192 | 0.5391 | 0.5101 | 0.5335 | |
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| 0.426 | 6.0 | 5142 | 1.6152 | 0.5213 | 0.5425 | 0.5095 | 0.5338 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 3.0.2 |
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- Tokenizers 0.13.3 |
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