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ViT5_2048_gen512 – AI Model by anhdt-dsai-02 | AlphaNeural AI
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ViT5_2048_gen512
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
mit
text-generation-inference
endpoints_compatible
us
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ViT5_2048_gen512
This model is a fine-tuned version of
VietAI/vit5-base-vietnews-summarization
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.49811702966690063
Rouge-1: 0.3124
Rouge-2: 0.1649
Rouge-4: 0.0905
Rouge-l: 0.2679
Rouge-w-1.2: 0.1096
Rouge-s4: 0.1204
Rouge-su4: 0.1531
R: 0.2648
P: 0.3806
Bleu: 12.1366
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.26.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
