CoolFace
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Joshua-Segal/assistant

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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Joshua-Segal/assistant

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

  • —Train Loss: 0.2074
  • —Validation Loss: 0.1618
  • —Train Accuracy: 0.9603
  • —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', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 2e-05, 'decaysteps': 155, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • —training_precision: float32

Training results

Train LossValidation LossTrain AccuracyEpoch
0.87470.53160.92060
0.40350.22690.96031
0.20740.16180.96032

Framework versions

  • —Transformers 4.32.1
  • —TensorFlow 2.12.0
  • —Datasets 2.12.0
  • —Tokenizers 0.13.2