Horovod_Tweet_Sentiment_1k_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: 0.5216092
• Train Accuracy: 0.784375
• Validation Loss: 0.92405033
• Validation Accuracy: 0.4875
• 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': 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
0.7129049	0.50937504	0.7314203	0.490625	0
0.73165804	0.47343752	0.6929074	0.484375	1
0.6827939	0.55	0.6864271	0.50625	2
0.66076773	0.5578125	0.60817575	0.69687504	3
0.5216092	0.784375	0.92405033	0.4875	4

Framework versions

• Transformers 4.17.0
• TensorFlow 2.6.0
• Tokenizers 0.11.6