ceofast/emotiom_analysis_with_distilbert

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: 0.1305
• Validation Loss: 0.1559
• Train Accuracy: 0.932
• 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	Validation Loss	Train Accuracy	Epoch
0.3838	0.1456	0.936	0
0.1305	0.1559	0.932	1

Framework versions

• Transformers 4.37.2
• TensorFlow 2.10.1
• Datasets 2.17.0
• Tokenizers 0.15.1