Boglinger/mt5-small-german-finetune-mlsum-klex

This model is a fine-tuned version of ml6team/mt5-small-german-finetune-mlsum on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 3.7473
• Validation Loss: 3.3362
• 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 744, '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, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
4.1761	3.5532	0
3.9847	3.4679	1
3.9027	3.4180	2
3.8483	3.3838	3
3.8075	3.3593	4
3.7779	3.3476	5
3.7570	3.3393	6
3.7446	3.3362	7
3.7506	3.3362	8
3.7473	3.3362	9

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.0
• Datasets 2.2.1
• Tokenizers 0.12.1