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finetuned_byT5large_pan_translit
lowresource-igt/finetuned_byT5large_pan_translit
finetuned_byT5large_pan_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 10, 2026
- Updated
- Jul 10, 2026
- SHA
- d724f5aa
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_pan_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: 2.8340
- Chrf++: 8.4231
- Gen Len: 188.8125
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 |
|---|---|---|---|---|---|
| 48.0644 | 1.0 | 2 | 2.8632 | 8.9604 | 189.0625 |
| 48.0644 | 2.0 | 4 | 2.8638 | 8.9589 | 189.125 |
| 48.0644 | 3.0 | 6 | 2.8637 | 8.73 | 188.875 |
| 48.0644 | 4.0 | 8 | 2.8593 | 8.8045 | 188.75 |
| 48.0644 | 5.0 | 10 | 2.8626 | 8.9574 | 189.125 |
| 48.0644 | 6.0 | 12 | 2.8646 | 8.7124 | 189.125 |
| 48.0644 | 7.0 | 14 | 2.8618 | 8.9911 | 189.25 |
| 48.0644 | 8.0 | 16 | 2.8614 | 8.5354 | 188.625 |
| 48.0644 | 9.0 | 18 | 2.8611 | 8.5436 | 188.5625 |
| 48.0644 | 10.0 | 20 | 2.8613 | 7.9713 | 189.375 |
| 48.0644 | 11.0 | 22 | 2.8619 | 8.4544 | 189.375 |
| 48.0644 | 12.0 | 24 | 2.8622 | 9.3215 | 189.0625 |
| 48.0644 | 13.0 | 26 | 2.8584 | 8.9319 | 189.0 |
| 48.0644 | 14.0 | 28 | 2.8586 | 8.5734 | 189.3125 |
| 48.0644 | 15.0 | 30 | 2.8600 | 8.483 | 189.0625 |
| 48.0644 | 16.0 | 32 | 2.8563 | 8.4694 | 189.125 |
| 48.0644 | 17.0 | 34 | 2.8545 | 8.8988 | 189.0625 |
| 48.0644 | 18.0 | 36 | 2.8524 | 9.0727 | 189.3125 |
| 48.0644 | 19.0 | 38 | 2.8501 | 8.1632 | 189.0625 |
| 48.0644 | 20.0 | 40 | 2.8500 | 8.2965 | 189.1875 |
| 48.0644 | 21.0 | 42 | 2.8470 | 8.8525 | 188.8125 |
| 48.0644 | 22.0 | 44 | 2.8458 | 8.7373 | 188.8125 |
| 48.0644 | 23.0 | 46 | 2.8441 | 8.3326 | 189.25 |
| 48.0644 | 24.0 | 48 | 2.8380 | 8.5965 | 189.0 |
| 48.0644 | 25.0 | 50 | 2.8391 | 8.8196 | 188.875 |
| 48.0644 | 26.0 | 52 | 2.8357 | 7.6951 | 189.1875 |
| 48.0644 | 27.0 | 54 | 2.8340 | 8.4231 | 188.8125 |
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 10, 2026
- Updated
- Jul 10, 2026