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ViT5_2048
anhdt-dsai-02/ViT5_2048
ViT5_2048 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
- 1fce8f3e
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
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: 0.492714524269104
- Rouge-1: 0.3152
- Rouge-2: 0.171
- Rouge-4: 0.1004
- Rouge-l: 0.271
- Rouge-w-1.2: 0.1115
- Rouge-s4: 0.1296
- Rouge-su4: 0.1612
- R: 0.2638
- P: 0.3914
- Bleu: 14.786
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
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-4 | Rouge-l | Rouge-w-1.2 | Rouge-s4 | Rouge-su4 | R | P | Bleu |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.578 | 1.0 | 629 | 0.5057 | 0.1566 | 0.1075 | 0.074 | 0.1438 | 0.0597 | 0.0896 | 0.1009 | 0.119 | 0.2286 | 2.2078 |
| 0.5241 | 2.0 | 1258 | 0.4915 | 0.3766 | 0.2443 | 0.1622 | 0.342 | 0.1442 | 0.1993 | 0.2293 | 0.3074 | 0.486 | 19.4445 |
| 0.4722 | 3.0 | 1887 | 0.4928 | 0.3677 | 0.2403 | 0.16 | 0.3336 | 0.1439 | 0.1963 | 0.2254 | 0.3038 | 0.4656 | 19.0032 |
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