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ViT5_2048_gen512
anhdt-dsai-02/ViT5_2048_gen512
ViT5_2048_gen512 is a machine learning model from anhdt-dsai-02. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Nov 24, 2023
- Updated
- Nov 24, 2023
- SHA
- 4b1437d2
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Nov 24, 2023
- Updated
- Nov 24, 2023