edgertej/poebert-balanced

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 3.8393
• Validation Loss: 3.5576
• 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': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
4.1167	3.7102	0
3.8640	3.6570	1
3.9454	3.6030	2
3.8175	3.5792	3
3.8393	3.5576	4

Framework versions

• Transformers 4.19.2
• TensorFlow 2.9.1
• Datasets 2.4.0
• Tokenizers 0.12.1