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finetuned_byT5large_jje
lowresource-igt/finetuned_byT5large_jje
finetuned_byT5large_jje 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 13, 2026
- Updated
- Jul 13, 2026
- SHA
- 0df2fd04
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_jje
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: 0.7106
- Chrf++: 60.7949
- Gen Len: 93.4882
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 |
|---|---|---|---|---|---|
| 50.9880 | 2.0 | 44 | 3.5509 | 2.7507 | 188.5213 |
| 50.9880 | 4.0 | 88 | 3.2855 | 2.177 | 186.0853 |
| 45.7435 | 6.0 | 132 | 2.9146 | 3.4735 | 174.1469 |
| 45.7435 | 8.0 | 176 | 2.5197 | 3.1024 | 112.5261 |
| 26.7879 | 10.0 | 220 | 2.1033 | 7.0935 | 123.4502 |
| 26.7879 | 12.0 | 264 | 1.6392 | 9.25 | 180.1848 |
| 15.9477 | 14.0 | 308 | 1.3111 | 13.1758 | 198.1564 |
| 15.9477 | 16.0 | 352 | 1.0473 | 15.3539 | 153.5735 |
| 15.9477 | 18.0 | 396 | 0.8805 | 13.8578 | 397.4076 |
| 9.4863 | 20.0 | 440 | 0.8047 | 17.0496 | 363.3839 |
| 9.4863 | 22.0 | 484 | 0.7373 | 24.3186 | 399.5261 |
| 5.5456 | 24.0 | 528 | 0.6518 | 42.7884 | 100.6825 |
| 5.5456 | 26.0 | 572 | 0.6386 | 48.494 | 89.0995 |
| 3.2289 | 28.0 | 616 | 0.6130 | 51.4767 | 111.237 |
| 3.2289 | 30.0 | 660 | 0.6327 | 50.6361 | 131.3886 |
| 1.9978 | 32.0 | 704 | 0.6267 | 55.5292 | 97.9573 |
| 1.9978 | 34.0 | 748 | 0.6515 | 57.3542 | 92.7867 |
| 1.9978 | 36.0 | 792 | 0.6410 | 60.7939 | 108.5166 |
| 1.2872 | 38.0 | 836 | 0.6379 | 62.1147 | 110.6019 |
| 1.2872 | 40.0 | 880 | 0.6528 | 60.0217 | 120.2133 |
| 0.6914 | 42.0 | 924 | 0.6848 | 59.3549 | 104.4645 |
| 0.6914 | 44.0 | 968 | 0.7106 | 60.7949 | 93.4882 |
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 13, 2026
- Updated
- Jul 13, 2026