europython-imdb / README.md
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metadata
license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: europython-imdb
    results: []

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: 0.1802
  • Train Accuracy: 0.9293
  • Validation Loss: 0.2424
  • Validation Accuracy: 0.9115
  • 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': 2e-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 Accuracy Validation Loss Validation Accuracy Epoch
0.2760 0.8860 0.2403 0.9035 0
0.1802 0.9293 0.2424 0.9115 1

Framework versions

  • Transformers 4.20.1
  • TensorFlow 2.8.2
  • Datasets 2.3.2
  • Tokenizers 0.12.1