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vit5-base-vietnews-summarization-finetuned-VN
halamdoan/vit5-base-vietnews-summarization-finetuned-VN
vit5-base-vietnews-summarization-finetuned-VN is a machine learning model from halamdoan. 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
- May 15, 2024
- Updated
- Jun 11, 2024
- SHA
- f711b2db
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-base-vietnews-summarization-finetuned-VN
This model is a fine-tuned version of VietAI/vit5-base-vietnews-summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8974
- Rouge1: 46.8897
- Rouge2: 21.2655
- Rougel: 33.489
- Rougelsum: 33.5578
- Gen Len: 18.9871
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.408 | 1.0 | 737 | 1.9329 | 46.6812 | 20.8232 | 33.1637 | 33.2377 | 18.9608 |
| 2.0444 | 2.0 | 1475 | 1.8841 | 46.7693 | 21.3121 | 33.37 | 33.4394 | 18.9623 |
| 1.7589 | 3.0 | 2212 | 1.8840 | 46.6303 | 21.0522 | 33.2678 | 33.3244 | 18.9777 |
| 1.6919 | 4.0 | 2950 | 1.8864 | 46.7928 | 21.395 | 33.3749 | 33.4439 | 18.9911 |
| 1.5844 | 5.0 | 3685 | 1.8974 | 46.8897 | 21.2655 | 33.489 | 33.5578 | 18.9871 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- May 15, 2024
- Updated
- Jun 11, 2024