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example_workflow_model

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.4118
  • Train Sparse Categorical Accuracy: 0.8765
  • Validation Loss: 0.5309
  • Validation Sparse Categorical Accuracy: 0.8448
  • Epoch: 1

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Sparse Categorical Accuracy Validation Loss Validation Sparse Categorical Accuracy Epoch
0.7242 0.7814 0.5739 0.8254 0
0.4118 0.8765 0.5309 0.8448 1

Framework versions

  • Transformers 4.16.0
  • TensorFlow 2.7.0
  • Datasets 1.18.1
  • Tokenizers 0.11.0
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