Downloads · 30 days
9
5% of all-time downloads
kumaoni_translator_model
Vai22/kumaoni_translator_model
kumaoni_translator_model is a machine learning model from Vai22. 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
171
Public
Parameters
60.5M
485 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 25, 2025
- Updated
- May 25, 2025
- SHA
- b8c15d5a
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. -->
kumaoni_translator_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0877
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4707 | 0.7474 | 500 | 1.2822 |
| 1.3045 | 1.4948 | 1000 | 1.2108 |
| 1.2541 | 2.2422 | 1500 | 1.1707 |
| 1.2499 | 2.9895 | 2000 | 1.1446 |
| 1.269 | 3.7369 | 2500 | 1.1272 |
| 1.3024 | 4.4843 | 3000 | 1.1192 |
| 1.2034 | 5.2317 | 3500 | 1.1137 |
| 1.3255 | 5.9791 | 4000 | 1.1071 |
| 1.1557 | 6.7265 | 4500 | 1.1049 |
| 1.1741 | 7.4738 | 5000 | 1.1004 |
| 1.105 | 8.2212 | 5500 | 1.0968 |
| 1.2414 | 8.9686 | 6000 | 1.0951 |
| 1.112 | 9.7160 | 6500 | 1.0913 |
| 1.1146 | 10.4634 | 7000 | 1.0918 |
| 1.1025 | 11.2108 | 7500 | 1.0918 |
| 1.0915 | 11.9581 | 8000 | 1.0887 |
| 1.1597 | 12.7055 | 8500 | 1.0892 |
| 1.1585 | 13.4529 | 9000 | 1.0880 |
| 1.0025 | 14.2003 | 9500 | 1.0877 |
| 1.0298 | 14.9477 | 10000 | 1.0877 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 25, 2025
- Updated
- May 25, 2025