distilbert-base-uncased-finetuned-emotion-tf

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

• Train Loss: 0.1354
• Train Sparse Categorical Accuracy: 0.9383
• Validation Loss: 0.1542
• Validation Sparse Categorical Accuracy: 0.9300
• 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': 5e-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 Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
0.4308	0.8512	0.1862	0.9250	0
0.1354	0.9383	0.1542	0.9300	1

Framework versions

• Transformers 4.29.2
• TensorFlow 2.10.0
• Datasets 2.13.0
• Tokenizers 0.13.3