svenbl80/roberta-base-finetuned-new-mnli-run-5

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: 0.0252
• Validation Loss: 0.6904
• Train Accuracy: 0.8664
• 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
0.4561	0.3859	0.8565	0
0.3292	0.3796	0.8647	1
0.2467	0.3988	0.8592	2
0.1801	0.4358	0.8620	3
0.1309	0.4774	0.8631	4
0.0945	0.5281	0.8590	5
0.0682	0.5577	0.8659	6
0.0486	0.6420	0.8636	7
0.0348	0.6607	0.8688	8
0.0252	0.6904	0.8664	9

Framework versions

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