TestZee/t5-small-finetuned-kaggle-data-t5-v2.0

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.8648
• Validation Loss: 1.7172
• Train Rouge1: 24.1639
• Train Rouge2: 13.1314
• Train Rougel: 20.8170
• Train Rougelsum: 22.3549
• Train Gen Len: 19.0
• Epoch: 4

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
2.1107	1.8251	23.3472	12.6240	20.0726	21.6297	19.0	0
1.9759	1.7755	23.8048	13.0368	20.4876	22.1022	19.0	1
1.9275	1.7466	23.9713	13.1351	20.5833	22.1610	19.0	2
1.8931	1.7291	24.0628	13.1243	20.7427	22.2890	19.0	3
1.8648	1.7172	24.1639	13.1314	20.8170	22.3549	19.0	4

Framework versions

• Transformers 4.20.1
• TensorFlow 2.8.2
• Datasets 2.3.2
• Tokenizers 0.12.1