model_card_test2

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

• Train Loss: 0.0031
• Train Accuracy: 1.0
• Validation Loss: 0.0000
• Validation Accuracy: 1.0
• Epoch: 1

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': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.4647	0.6406	0.0057	1.0	0
0.0031	1.0	0.0000	1.0	1

Framework versions

• Transformers 4.14.0.dev0
• TensorFlow 2.6.0
• Datasets 1.16.2.dev0
• Tokenizers 0.10.3