Boglinger/mt5-small-german-finetune-mlsum-klexv2

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: 3.5577
• Validation Loss: 3.2091
• 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': 2280, '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
4.0493	3.4725	0
3.8299	3.3641	1
3.7296	3.3059	2
3.6650	3.2651	3
3.6235	3.2407	4
3.5919	3.2227	5
3.5733	3.2122	6
3.5597	3.2091	7
3.5599	3.2091	8
3.5577	3.2091	9

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.0
• Datasets 2.2.2
• Tokenizers 0.12.1