stevhliu / my_awesome_model

huggingface.co
Total runs: 1.7K
24-hour runs: 0
7-day runs: 50
30-day runs: 247
Model's Last Updated: August 25 2023
text-classification

Introduction of my_awesome_model

Model Details of my_awesome_model

stevhliu/my_awesome_model

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

  • Train Loss: 0.0632
  • Validation Loss: 0.2355
  • Train Accuracy: 0.9295
  • Epoch: 2
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7810, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32
Training results
Train Loss Validation Loss Train Accuracy Epoch
0.2518 0.1859 0.9261 0
0.1319 0.1822 0.9318 1
0.0632 0.2355 0.9295 2
Framework versions
  • Transformers 4.22.2
  • TensorFlow 2.8.2
  • Datasets 2.5.1
  • Tokenizers 0.12.1

Runs of stevhliu my_awesome_model on huggingface.co

1.7K
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0
24-hour runs
6
3-day runs
50
7-day runs
247
30-day runs

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my_awesome_model install

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stevhliu
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