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--- |
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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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datasets: |
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- offenseval_2020 |
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metrics: |
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- accuracy |
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model-index: |
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- name: ArabertHateSpeech |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: offenseval_2020 |
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type: offenseval_2020 |
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config: ar |
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split: test |
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args: ar |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9255610290093049 |
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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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# ArabertHateSpeech |
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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 offenseval_2020 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3259 |
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- Accuracy: 0.9256 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 3.0 |
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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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| 0.1895 | 1.0 | 980 | 0.4345 | 0.9206 | |
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| 0.1472 | 2.0 | 1960 | 0.3537 | 0.9228 | |
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| 0.1365 | 3.0 | 2940 | 0.3259 | 0.9256 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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