t5-large-paraphase-finetuned

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

• Loss: 1.0026
• Rouge1: 73.1728
• Rouge2: 57.3725
• Rougel: 69.3976
• Rougelsum: 69.3849
• Gen Len: 9.0143

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:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.0441	1.0	1969	1.0026	73.1728	57.3725	69.3976	69.3849	9.0143

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1
• Datasets 2.14.4
• Tokenizers 0.13.3