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mdeberta-v3-base-vnrte-1

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the tmnam20/VieGLUE/VNRTE dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0024
  • Accuracy: 0.9997

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: 32
  • eval_batch_size: 16
  • seed: 1
  • 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
0.0077 1.28 500 0.0007 0.9997
0.0043 2.55 1000 0.0025 0.9997

Framework versions

  • Transformers 4.36.0
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Evaluation results