Anthos23/distilbert-base-uncased-finetuned-sst2

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: 0.0662
• Validation Loss: 0.2623
• Train Accuracy: 0.9083
• Epoch: 2

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': 21045, '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
0.2101	0.2373	0.9083	0
0.1065	0.2645	0.9060	1
0.0662	0.2623	0.9083	2

Framework versions

• Transformers 4.17.0.dev0
• TensorFlow 2.5.0
• Datasets 1.18.3
• Tokenizers 0.11.0