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eventdata-utd
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ConfliBERT-Arabic-Scratch-65K-v2

PyTorch
bert
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ConfliBERT-Arabic-Scratch

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9436
  • Accuracy: 0.8078

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.0.dev20220616
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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Evaluation results

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