Downloads · 30 days
3
12% of all-time downloads
vi-formal-converter-v1.2
AnLeDinhMinh/vi-formal-converter-v1.2
vi-formal-converter-v1.2 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. --
All-time downloads
26
Public
Parameters
226M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors904 MB · 99%
At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025
- SHA
- 85d98e42
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-v1.2
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: 0.6485
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 | 53 | 0.8522 |
| No log | 2.0 | 106 | 0.6620 |
| No log | 3.0 | 159 | 0.6353 |
| No log | 4.0 | 212 | 0.6090 |
| No log | 5.0 | 265 | 0.6088 |
| No log | 6.0 | 318 | 0.6000 |
| No log | 7.0 | 371 | 0.6113 |
| No log | 8.0 | 424 | 0.6093 |
| No log | 9.0 | 477 | 0.6166 |
| 1.1074 | 10.0 | 530 | 0.6211 |
| 1.1074 | 11.0 | 583 | 0.6321 |
| 1.1074 | 12.0 | 636 | 0.6382 |
| 1.1074 | 13.0 | 689 | 0.6455 |
| 1.1074 | 14.0 | 742 | 0.6477 |
| 1.1074 | 15.0 | 795 | 0.6485 |
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