gogzy/t5-base-finetuned_renre_2021_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: 6.0647
• Validation Loss: 4.9004
• Train Rouge1: 14.8649
• Train Rouge2: 8.2192
• Train Rougel: 12.1622
• Train Rougelsum: 14.8649
• 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
10.3805	9.9375	14.8649	8.2192	12.1622	14.8649	19.0	0
9.2108	8.9290	14.8649	8.2192	12.1622	14.8649	19.0	1
8.1249	7.6832	14.8649	8.2192	12.1622	14.8649	19.0	2
7.3542	6.2012	14.8649	8.2192	12.1622	14.8649	19.0	3
6.0647	4.9004	14.8649	8.2192	12.1622	14.8649	19.0	4

Framework versions

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