FineTune_Vit5_LR0_000001_time1

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: 1.8667
• Validation Loss: 0.8405
• Train Rouge1: 45.0606
• Train Rouge2: 20.4988
• Train Rougel: 34.5672
• Train Rougelsum: 34.6023
• Train Gen Len: 13.7325
• 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-06, '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
1.8667	0.8405	45.0606	20.4988	34.5672	34.6023	13.7325	0

Framework versions

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