roberta-blm-tweets

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: 0.3333
• Train Accuracy: 0.8964
• Validation Loss: 1.5482
• Validation Accuracy: 0.6106
• 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
1.4279	0.4908	1.3684	0.5442	0
1.1474	0.6375	1.2189	0.5796	1
0.9645	0.7016	1.1257	0.6106	2
0.7404	0.7534	1.2809	0.6239	3
0.6608	0.7965	1.4192	0.5973	4
0.5460	0.8187	1.3828	0.5354	5
0.4058	0.8668	1.5394	0.5929	6
0.3333	0.8964	1.5482	0.6106	7

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.2
• Tokenizers 0.13.2