metadata

license: mit
base_model: VietAI/vit5-large
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-large-paraphase-finetuned
    results: []

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