veb/twitch-roberta-base-sentiment-latest

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

• Train Loss: 1.0941
• Train Sparse Categorical Accuracy: 0.375
• Validation Loss: 1.0186
• Validation Sparse Categorical Accuracy: 0.3333
• 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
1.1272	0.3281	1.0190	0.3333	0
1.1254	0.2969	1.1164	0.0	1
1.0941	0.375	1.0186	0.3333	2

Framework versions

• Transformers 4.19.2
• TensorFlow 2.7.0
• Datasets 2.2.2
• Tokenizers 0.12.1