CoolFace
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Rocketknight1/europython-imdb

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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europython-imdb

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1279
  • Train Accuracy: 0.9548
  • Validation Loss: 0.1595
  • Validation Accuracy: 0.9418
  • 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', 'learningrate': 2e-05, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train LossTrain AccuracyValidation LossValidation AccuracyEpoch
0.20730.92030.14860.94350
0.12790.95480.15950.94181

Framework versions

  • Transformers 4.21.0.dev0
  • TensorFlow 2.9.1
  • Datasets 2.3.3.dev0
  • Tokenizers 0.11.0