metadata

license: mit
base_model: VietAI/vit5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: Final-DeepLearning
    results: []

Final-DeepLearning

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

Loss: 0.3719
Rouge1: 76.4946
Rouge2: 63.0595
Rougel: 74.534
Rougelsum: 74.5515
Gen Len: 9.8515

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
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
0.3194	1.0	10000	0.3719	76.4946	63.0595	74.534	74.5515	9.8515

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1