cruiser/roberta_tensorflow_test

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

• Train Loss: 0.1366
• Train Accuracy: 0.9537
• Validation Loss: 0.8098
• Validation Accuracy: 0.7875
• Epoch: 5

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 34350, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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
0.6043	0.7502	0.5449	0.7756	0
0.4868	0.8044	0.5104	0.7807	1
0.3846	0.8472	0.5949	0.7705	2
0.2873	0.8908	0.6515	0.7858	3
0.1965	0.9293	0.7051	0.7813	4
0.1366	0.9537	0.8098	0.7875	5

Framework versions

• Transformers 4.20.1
• TensorFlow 2.9.2
• Datasets 2.1.0
• Tokenizers 0.12.1