FineTune_Vit5_LR0_00001_time2

This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.6803
• Validation Loss: 0.7039
• Train Rouge1: 48.5820
• Train Rouge2: 26.3291
• Train Rougel: 39.9040
• Train Rougelsum: 39.9339
• Train Gen Len: 14.1547
• Epoch: 0

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

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
0.6803	0.7039	48.5820	26.3291	39.9040	39.9339	14.1547	0

Framework versions

• Transformers 4.26.0
• TensorFlow 2.9.2
• Datasets 2.9.0
• Tokenizers 0.13.2