gogzy/t5-base-finetuned_renre_item1

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

• Train Loss: 8.5613
• Validation Loss: 6.0177
• Train Rouge1: 9.4862
• Train Rouge2: 6.3745
• Train Rougel: 7.9051
• Train Rougelsum: 9.4862
• 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
13.9387	10.3276	7.1429	1.6	4.7619	5.5556	19.0	0
12.7511	9.4693	8.7302	4.8	7.1429	7.9365	19.0	1
11.3785	8.4321	8.7302	4.8	7.1429	7.9365	19.0	2
9.9856	7.2054	8.7302	4.8	7.1429	7.9365	19.0	3
8.5613	6.0177	9.4862	6.3745	7.9051	9.4862	19.0	4

Framework versions

• Transformers 4.24.0
• TensorFlow 2.9.2
• Datasets 2.6.1
• Tokenizers 0.13.1