fassahat/distillbert-base-uncased-finetuned-150k-patent-sentences

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: 0.2887
• Validation Loss: 0.4392
• Train Accuracy: 0.8414
• 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': 22500, '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
0.4810	0.4276	0.8330	0
0.3714	0.4163	0.8415	1
0.2887	0.4392	0.8414	2

Framework versions

• Transformers 4.23.1
• TensorFlow 2.9.2
• Datasets 2.6.1
• Tokenizers 0.13.1