europython-imdb-distilbert

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

• Train Loss: 0.3081
• Train Accuracy: 0.8663
• Validation Loss: 0.2459
• Validation Accuracy: 0.9006
• Epoch: 0

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
0.3081	0.8663	0.2459	0.9006	0

Framework versions

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