veb/twitch-bert-base-cased-finetuned

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0952
• Train Sparse Categorical Accuracy: 0.9647
• Validation Loss: 0.0359
• Validation Sparse Categorical Accuracy: 0.9881
• 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 Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
0.2938	0.8775	0.1106	0.9602	0
0.1404	0.9514	0.1508	0.9523	1
0.0952	0.9647	0.0359	0.9881	2

Framework versions

• Transformers 4.20.1
• TensorFlow 2.6.4
• Datasets 2.3.2
• Tokenizers 0.12.1