Horovod_Tweet_Sentiment_10k_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: 0.7210579
• Train Accuracy: 0.5
• Validation Loss: 0.6863412
• Validation Accuracy: 0.54062504
• 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': 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
0.7117643	0.4796875	0.7163932	0.459375	0
0.7210579	0.5	0.6863412	0.54062504	1

Framework versions

• Transformers 4.17.0
• TensorFlow 2.6.0
• Tokenizers 0.11.6