Horovod_Tweet_Sentiment_1k_3eps

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: 0.6961535
• Train Accuracy: 0.49375
• Validation Loss: 0.6676211
• Validation Accuracy: 0.64375
• 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', 'clipnorm': 1.0, 'learning_rate': 0.0003, '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
0.717013	0.46562502	0.73462963	0.515625	0
0.70586157	0.5078125	0.6937375	0.484375	1
0.6961535	0.49375	0.6676211	0.64375	2

Framework versions

• Transformers 4.17.0
• TensorFlow 2.6.0
• Tokenizers 0.11.6