resume_sorter

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

• Train Loss: 1.6000
• Train Accuracy: 0.9309
• Epoch: 6

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 225, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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	Epoch
3.0338	0.3025	0
2.5856	0.6257	1
2.1253	0.8646	2
1.7760	0.9144	3
1.6245	0.9309	4
1.5916	0.9309	5
1.6000	0.9309	6

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.2
• Datasets 2.7.1
• Tokenizers 0.13.2