topic_classification_03

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: 1.0459
• Train Sparse Categorical Accuracy: 0.6535
• Validation Loss: 1.1181
• Validation Sparse Categorical Accuracy: 0.6354
• Epoch: 5

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
1.2710	0.5838	1.1683	0.6156	0
1.1546	0.6193	1.1376	0.6259	1
1.1163	0.6314	1.1247	0.6292	2
1.0888	0.6400	1.1253	0.6323	3
1.0662	0.6473	1.1182	0.6344	4
1.0459	0.6535	1.1181	0.6354	5

Framework versions

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