BERT_Tweet_Sentiment_100k_2eps

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

• Train Loss: 0.1259
• Train Accuracy: 0.9542
• Validation Loss: 0.6133
• Validation Accuracy: 0.8315
• Epoch: 1

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', 'clipnorm': 1.0, 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.3330	0.8562	0.3847	0.8415	0
0.1259	0.9542	0.6133	0.8315	1

Framework versions

• Transformers 4.16.2
• TensorFlow 2.8.0
• Tokenizers 0.11.0