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finetuned_byT5large_ddo_translit
lowresource-igt/finetuned_byT5large_ddo_translit
finetuned_byT5large_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
- 2bb3fe58
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_byT5large_ddo_translit
This model is a fine-tuned version of google/byt5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0694
- Chrf++: 87.9716
- Gen Len: 130.6629
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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|---|
| 6.6477 | 1.9938 | 444 | 0.4811 | 35.9644 | 109.991 |
| 1.5610 | 3.9848 | 888 | 0.1134 | 78.8629 | 136.0472 |
| 0.5447 | 5.9758 | 1332 | 0.0661 | 86.4496 | 131.8494 |
| 0.3545 | 7.9668 | 1776 | 0.0632 | 87.3646 | 132.5348 |
| 0.2928 | 9.9578 | 2220 | 0.0638 | 87.4536 | 131.7506 |
| 0.2469 | 11.9488 | 2664 | 0.0610 | 88.456 | 135.364 |
| 0.2341 | 13.9399 | 3108 | 0.0642 | 88.0096 | 132.8112 |
| 0.2166 | 15.9309 | 3552 | 0.0709 | 86.0859 | 132.8292 |
| 0.1973 | 17.9219 | 3996 | 0.0694 | 87.9716 | 130.6629 |
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