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vi-formal-converter
AnLeDinhMinh/vi-formal-converter
vi-formal-converter is a machine learning model from AnLeDinhMinh. 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
- Dec 22, 2025
- Updated
- Dec 22, 2025
- SHA
- 8372bc2f
Base models
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. -->
vi-formal-converter
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: 0.6669
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 38 | 0.9078 |
| No log | 2.0 | 76 | 0.7170 |
| No log | 3.0 | 114 | 0.6119 |
| No log | 4.0 | 152 | 0.5992 |
| No log | 5.0 | 190 | 0.6054 |
| No log | 6.0 | 228 | 0.6054 |
| No log | 7.0 | 266 | 0.6149 |
| No log | 8.0 | 304 | 0.6246 |
| No log | 9.0 | 342 | 0.6371 |
| No log | 10.0 | 380 | 0.6388 |
| No log | 11.0 | 418 | 0.6509 |
| No log | 12.0 | 456 | 0.6504 |
| No log | 13.0 | 494 | 0.6649 |
| 1.0558 | 14.0 | 532 | 0.6664 |
| 1.0558 | 15.0 | 570 | 0.6669 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025