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--- |
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base_model: aubmindlab/bert-base-arabertv02-twitter |
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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: AraBert-Arabic-Sentiment-Analysis |
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results: [] |
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license: apache-2.0 |
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language: |
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- ar |
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library_name: transformers |
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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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# AraBert-Arabic-Sentiment-Analysis |
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This model is a fine-tuned version of AraBERT on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5327 |
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- Macro F1: 0.6543 |
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- Accuracy: 0.8003 |
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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: 128 |
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- seed: 25 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| No log | 1.0 | 497 | 0.5337 | 0.6219 | 0.7967 | |
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| 0.6177 | 2.0 | 994 | 0.5327 | 0.6543 | 0.8003 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.15.2 |
