veb/twitch-distilbert-base-uncased-finetuned-sst-2-english

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.3074
• Train Sparse Categorical Accuracy: 0.9219
• Validation Loss: 0.1151
• Validation Sparse Categorical Accuracy: 1.0
• 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
1.0992	0.6094	0.3072	1.0	0
0.3921	0.7812	0.2903	1.0	1
0.3074	0.9219	0.1151	1.0	2

Framework versions

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