Horovod_Tweet_Sentiment_1K_4eps

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: 0.6803332
• Train Accuracy: 0.57187504
• Validation Loss: 0.6883397
• Validation Accuracy: 0.54375
• Epoch: 3

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
0.70931095	0.5078125	0.81717503	0.528125	0
0.77384466	0.5296875	0.68696874	0.51875	1
0.68944424	0.53125	0.6837756	0.53125	2
0.6803332	0.57187504	0.6883397	0.54375	3

Framework versions

• Transformers 4.17.0
• TensorFlow 2.6.0
• Tokenizers 0.11.6