krm/mt5-small-OrangeSum-Summarizer

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: 3.7771
• Validation Loss: 2.5727
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 5000, '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
7.8346	3.2199	0
5.1020	2.8619	1
4.5632	2.7564	2
4.2564	2.6726	3
4.0501	2.6300	4
3.9185	2.5930	5
3.8209	2.5792	6
3.7771	2.5727	7

Framework versions

• Transformers 4.22.2
• TensorFlow 2.8.2
• Datasets 2.5.2
• Tokenizers 0.12.1