smartiros/BERT_for_sentiment_50k_2_epochs_preprocessed

tmpmrwiph1p

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: 0.1382
• Train Accuracy: 0.9482
• Validation Loss: 0.7241
• Validation Accuracy: 0.8109
• 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
0.3773	0.8313	0.4627	0.8131	0
0.1382	0.9482	0.7241	0.8109	1

Framework versions

• Transformers 4.17.0
• TensorFlow 2.8.0
• Tokenizers 0.11.6