cruiser/bert_model_kaggle

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: 1.0986
• Train Accuracy: 0.3554
• Validation Loss: 1.0986
• Validation Accuracy: 0.3814
• 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', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
1.1128	0.3360	1.0986	0.3356	0
1.0990	0.3370	1.0986	0.3823	1
1.0996	0.3631	1.0986	0.3814	2
1.0986	0.3556	1.0986	0.3814	3
1.0986	0.3554	1.0986	0.3814	4

Framework versions

• Transformers 4.20.1
• TensorFlow 2.6.4
• Datasets 2.1.0
• Tokenizers 0.12.1