svenbl80/roberta-base-finetuned-new-mnli-run-6

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

• Train Loss: 0.0245
• Validation Loss: 0.7259
• Train Accuracy: 0.8669
• Epoch: 9

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': 245430, '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	Validation Loss	Train Accuracy	Epoch
0.4536	0.3867	0.8534	0
0.3273	0.3665	0.8645	1
0.2440	0.4267	0.8591	2
0.1776	0.4708	0.8631	3
0.1281	0.5308	0.8597	4
0.0923	0.5570	0.8603	5
0.0666	0.6198	0.8631	6
0.0471	0.6758	0.8654	7
0.0336	0.7154	0.8652	8
0.0245	0.7259	0.8669	9

Framework versions

• Transformers 4.28.0
• TensorFlow 2.9.1
• Datasets 2.15.0
• Tokenizers 0.13.3