Downloads · 30 days
4
8% of all-time downloads
mt5_tai-lo_to_chinese_ver7.1.b
Curiousfox/mt5_tai-lo_to_chinese_ver7.1.b
mt5_tai-lo_to_chinese_ver7.1.b is a machine learning model from Curiousfox. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
50
Public
Parameters
967M
3.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.9 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- May 19, 2026
- Updated
- May 19, 2026
- SHA
- 716adf51
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. -->
mt5_tai-lo_to_chinese_ver7.1.b
This model is a fine-tuned version of Curiousfox/mT5_tai-lo_to_chinese_ver6.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2313
- Chrf: 51.4668
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: 8
- eval_batch_size: 16
- seed: 1
- 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
- lr_scheduler_warmup_steps: 3000
- training_steps: 60000
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf |
|---|---|---|---|---|
| 3.0567 | 0.9461 | 3000 | 2.2862 | 20.3079 |
| 2.8265 | 1.8921 | 6000 | 2.0601 | 25.6548 |
| 2.5853 | 2.8382 | 9000 | 1.9024 | 29.7987 |
| 2.4102 | 3.7843 | 12000 | 1.7784 | 32.9696 |
| 2.2495 | 4.7304 | 15000 | 1.6755 | 36.507 |
| 2.1135 | 5.6764 | 18000 | 1.5971 | 38.8805 |
| 2.0277 | 6.6225 | 21000 | 1.5219 | 41.3789 |
| 1.9246 | 7.5686 | 24000 | 1.4638 | 43.373 |
| 1.8610 | 8.5147 | 27000 | 1.4187 | 45.0972 |
| 1.7872 | 9.4607 | 30000 | 1.3898 | 46.0909 |
| 1.7286 | 10.4068 | 33000 | 1.3513 | 47.7095 |
| 1.6866 | 11.3529 | 36000 | 1.3181 | 48.4392 |
| 1.6425 | 12.2990 | 39000 | 1.2974 | 48.751 |
| 1.6157 | 13.2450 | 42000 | 1.2751 | 49.8305 |
| 1.5777 | 14.1911 | 45000 | 1.2667 | 50.4362 |
| 1.5631 | 15.1372 | 48000 | 1.2476 | 50.7423 |
| 1.5445 | 16.0833 | 51000 | 1.2424 | 51.0013 |
| 1.5266 | 17.0293 | 54000 | 1.2392 | 51.3597 |
| 1.5209 | 17.9754 | 57000 | 1.2323 | 51.3642 |
| 1.5143 | 18.9215 | 60000 | 1.2313 | 51.4668 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- May 19, 2026
- Updated
- May 19, 2026