roberta-model-english

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

• Train Loss: 0.1140
• Train Accuracy: 0.9596
• Validation Loss: 0.2166
• Validation Accuracy: 0.9301
• 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
0.2922	0.8804	0.2054	0.9162	0
0.1710	0.9352	0.1879	0.9353	1
0.1140	0.9596	0.2166	0.9301	2

Framework versions

• Transformers 4.16.2
• TensorFlow 2.7.0
• Tokenizers 0.11.0