aomar85 / Twitter_concatenatewithPrompttrainva1024-fold4

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Total runs: 42
24-hour runs: 0
7-day runs: 42
30-day runs: 42
Model's Last Updated: February 14 2026
text-classification

Introduction of Twitter_concatenatewithPrompttrainva1024-fold4

Model Details of Twitter_concatenatewithPrompttrainva1024-fold4

Twitter_concatenatewithPrompttrainva1024-fold4

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4543
  • Accuracy: 0.8431
  • Macro F1: 0.8412
  • Weighted F1: 0.8425
  • F1 Pro: 0.8732
  • F1 Against: 0.8472
  • F1 Neutral: 0.8033
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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Macro F1 Weighted F1 F1 Pro F1 Against F1 Neutral
0.9504 0.9615 50 0.7297 0.7157 0.7151 0.7152 0.7143 0.7191 0.7119
0.6594 1.9231 100 0.5215 0.7990 0.8000 0.8009 0.8421 0.7939 0.7639
0.4548 2.8846 150 0.4543 0.8284 0.8277 0.8288 0.8613 0.8310 0.7907
0.3114 3.8462 200 0.4538 0.8431 0.8412 0.8425 0.8732 0.8472 0.8033
0.2346 4.8077 250 0.5162 0.8382 0.8360 0.8371 0.8552 0.8493 0.8034
0.1895 5.7692 300 0.5695 0.8186 0.8180 0.8195 0.8592 0.8244 0.7704
Framework versions
  • Transformers 5.0.0
  • Pytorch 2.9.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Runs of aomar85 Twitter_concatenatewithPrompttrainva1024-fold4 on huggingface.co

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