distilbert-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: 1.0219
• Train Accuracy: 0.6909
• Validation Loss: 1.2971
• Validation Accuracy: 0.6174
• Epoch: 2

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
1.5339	0.4752	1.3023	0.5652	0
1.2663	0.6012	1.2350	0.5870	1
1.0219	0.6909	1.2971	0.6174	2

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.2
• Tokenizers 0.13.2