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finetuned_glosslm_ddo_translit
lowresource-igt/finetuned_glosslm_ddo_translit
finetuned_glosslm_ddo_translit is a machine learning model from lowresource-igt. 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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026
- SHA
- 4d69cb67
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. -->
finetuned_glosslm_ddo_translit
This model is a fine-tuned version of lecslab/glosslm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0931
- Chrf++: 89.3402
- Gen Len: 132.8764
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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf++ | Gen Len |
|---|---|---|---|---|---|
| 0.1960 | 1.9888 | 222 | 0.0653 | 88.855 | 133.5011 |
| 0.1341 | 3.9708 | 444 | 0.0688 | 89.052 | 133.5258 |
| 0.1005 | 5.9528 | 666 | 0.0742 | 89.0754 | 133.2989 |
| 0.0781 | 7.9348 | 888 | 0.0843 | 89.0597 | 133.0404 |
| 0.0551 | 9.9169 | 1110 | 0.0814 | 89.1578 | 133.2876 |
| 0.0495 | 11.8989 | 1332 | 0.0892 | 89.5256 | 133.0899 |
| 0.0479 | 13.8809 | 1554 | 0.0925 | 88.928 | 133.5685 |
| 0.0457 | 15.8629 | 1776 | 0.0919 | 89.1388 | 133.3393 |
| 0.0464 | 17.8449 | 1998 | 0.0931 | 89.3402 | 132.8764 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.6.0+cu124
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026