xtremedistil-l6-h256-uncased-future-time-references-D2

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on jonaskoenig/future-time-refernces-static-filter-D2 and jonaskoenig/trump_administration_statement. It achieves the following results on the evaluation set:

• Train Loss: 0.0055
• Train Sparse Categorical Accuracy: 0.9984
• Validation Loss: 0.0074
• Validation Sparse Categorical Accuracy: 0.9984
• Epoch: 4

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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
0.0388	0.9891	0.0154	0.9957	0
0.0133	0.9962	0.0088	0.9975	1
0.0087	0.9974	0.0081	0.9978	2
0.0068	0.9980	0.0074	0.9982	3
0.0055	0.9984	0.0074	0.9984	4

The test accuracy is: 99.81%

Framework versions

• Transformers 4.20.1
• TensorFlow 2.9.1
• Datasets 2.3.2
• Tokenizers 0.12.1