disilbert-blm-tweets

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: 0.0857
• Train Accuracy: 0.9790
• Validation Loss: 1.7704
• Validation Accuracy: 0.5973
• Epoch: 7

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 Accuracy	Validation Loss	Validation Accuracy	Epoch
1.2590	0.5746	1.1456	0.6460	0
1.0110	0.6930	1.2198	0.6106	1
0.7538	0.7633	1.2087	0.6327	2
0.4794	0.8520	1.2903	0.6239	3
0.3100	0.9162	1.4110	0.6106	4
0.2005	0.9482	1.6042	0.5487	5
0.1174	0.9753	1.6328	0.6018	6
0.0857	0.9790	1.7704	0.5973	7

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.2
• Tokenizers 0.13.2