folflo/mt5-small-finetuned-HunSum-1_v0915

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

• Train Loss: 2.9250
• Validation Loss: 2.6671
• Epoch: 7

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 63408, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
4.6091	3.0932	0
3.4556	2.8793	1
3.1948	2.7755	2
3.0808	2.7294	3
3.0135	2.7080	4
2.9686	2.6869	5
2.9401	2.6695	6
2.9250	2.6671	7

Framework versions

• Transformers 4.33.1
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.13.3