mt5-small-summarization

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: 2.9665
• Validation Loss: 2.4241
• Train Rouge1: 23.5645
• Train Rouge2: 8.2413
• Train Rougel: 19.7515
• Train Rougelsum: 19.9204
• Train Gen Len: 19.0
• Epoch: 2

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
4.7187	2.6627	19.5921	5.9723	16.6769	16.8456	18.955	0
3.1929	2.4941	21.2334	6.9784	18.2158	18.2062	18.99	1
2.9665	2.4241	23.5645	8.2413	19.7515	19.9204	19.0	2

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.2
• Datasets 2.2.2
• Tokenizers 0.12.1