BERT_Tweet_Sentiment_10k

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: 0.3891
• Train Accuracy: 0.8273
• Validation Loss: 0.4749
• Validation Accuracy: 0.8073
• Epoch: 0

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
0.3891	0.8273	0.4749	0.8073	0

Framework versions

• Transformers 4.16.2
• TensorFlow 2.8.0
• Tokenizers 0.11.0