gogzy/t5-base-finetuned_renre_2021_70_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: 2.9249
• Validation Loss: 3.4095
• Train Rouge1: 23.3982
• Train Rouge2: 19.6757
• Train Rougel: 22.3564
• Train Rougelsum: 22.8412
• 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
9.7749	6.6798	18.9434	12.6370	16.9890	17.7338	19.0	0
4.9973	4.2477	22.6855	17.2847	21.5463	21.7509	19.0	1
3.5151	3.8275	23.5077	18.3312	21.6536	21.9844	19.0	2
3.2552	3.5650	22.6213	18.1468	21.3466	21.8323	19.0	3
2.9249	3.4095	23.3982	19.6757	22.3564	22.8412	19.0	4

Framework versions

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