BERT_Tweet_Sentiment_50k_5eps

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: 0.0256
• Train Accuracy: 0.9913
• Validation Loss: 0.8905
• Validation Accuracy: 0.8291
• Epoch: 4

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
0.3395	0.8513	0.4071	0.8372	0
0.1095	0.9606	0.6561	0.8291	1
0.0487	0.9835	0.7597	0.8304	2
0.0329	0.9890	0.7814	0.8273	3
0.0256	0.9913	0.8905	0.8291	4

Framework versions

• Transformers 4.16.2
• TensorFlow 2.8.0
• Tokenizers 0.11.0