AraBert-finetuned-text-classification

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AraBert-finetuned-text-classification

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset (private). The model is fine-tuned for the following classes : [سياسة، اقتصاد، رياضة]

It achieves the following results on the evaluation set:

• Loss: 0.1147
• Macro F1: 0.9623
• Accuracy: 0.9623
• Recall: 0.9622

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 4e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2