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bert-base-banking77-t2

This model is a fine-tuned version of bert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2922
  • F1: 0.9319

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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss F1
1.1109 1.0 626 0.7965 0.8555
0.3824 2.0 1252 0.3571 0.9220
0.1847 3.0 1878 0.2922 0.9319

Framework versions

  • Transformers 4.27.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.9.0
  • Tokenizers 0.13.3
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Dataset used to train YUCHUL/bert-base-banking77-t2

Evaluation results