topic_classification_04

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.8325
• Train Sparse Categorical Accuracy: 0.7237
• 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': 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	Epoch
1.0735	0.6503	0
0.9742	0.6799	1
0.9424	0.6900	2
0.9199	0.6970	3
0.9016	0.7026	4
0.8853	0.7073	5
0.8707	0.7120	6
0.8578	0.7160	7
0.8448	0.7199	8
0.8325	0.7237	9

Framework versions

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