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mainCut-2024-01-03

This model is a fine-tuned version of klue/roberta-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6002
  • Accuracy: 0.8212

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6427 1.0 25000 0.6142 0.8145
0.5953 2.0 50000 0.5904 0.8188
0.512 3.0 75000 0.6002 0.8212

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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