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metadata
license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: huynhdoo/camembert-base-finetuned-jva-missions-report
    results: []

huynhdoo/camembert-base-finetuned-jva-missions-report

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

  • Train Loss: 0.0687
  • Train Accuracy: 0.9838
  • Validation Loss: 0.4695
  • Validation Accuracy: 0.8547
  • 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1005, '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-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.0750 0.9807 0.4695 0.8547 0
0.0687 0.9838 0.4695 0.8547 1

Framework versions

  • Transformers 4.26.1
  • TensorFlow 2.9.2
  • Datasets 2.9.0
  • Tokenizers 0.13.2