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finetuned_byT5large_pnb_translit
lowresource-igt/finetuned_byT5large_pnb_translit
finetuned_byT5large_pnb_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
- 274e57cc
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_pnb_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: 2.2972
- Chrf++: 7.7801
- Gen Len: 186.6471
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 |
|---|---|---|---|---|---|
| 47.9195 | 1.4706 | 4 | 2.4534 | 8.7952 | 189.4706 |
| 47.9195 | 2.9412 | 8 | 2.4512 | 8.8152 | 187.4118 |
| 47.9195 | 4.0 | 12 | 2.4511 | 8.1872 | 187.8235 |
| 47.9195 | 5.4706 | 16 | 2.4526 | 8.7751 | 188.2941 |
| 47.9195 | 6.9412 | 20 | 2.4504 | 8.1986 | 189.0588 |
| 47.9195 | 8.0 | 24 | 2.4498 | 8.0455 | 187.4118 |
| 47.9195 | 9.4706 | 28 | 2.4497 | 8.6809 | 186.8824 |
| 47.9195 | 10.9412 | 32 | 2.4483 | 8.1802 | 187.5882 |
| 47.9195 | 12.0 | 36 | 2.4454 | 8.9074 | 188.4706 |
| 47.9195 | 13.4706 | 40 | 2.4454 | 8.4628 | 188.5294 |
| 47.9195 | 14.9412 | 44 | 2.4435 | 9.6361 | 189.2353 |
| 47.9195 | 16.0 | 48 | 2.4390 | 9.1575 | 184.4118 |
| 47.9195 | 17.4706 | 52 | 2.4323 | 8.2553 | 183.1176 |
| 47.9195 | 18.9412 | 56 | 2.4218 | 8.7742 | 182.0588 |
| 47.9195 | 20.0 | 60 | 2.4235 | 8.6291 | 185.4118 |
| 47.9195 | 21.4706 | 64 | 2.3980 | 8.1908 | 184.0 |
| 47.9195 | 22.9412 | 68 | 2.4012 | 8.916 | 185.9412 |
| 47.9195 | 24.0 | 72 | 2.3931 | 6.9582 | 184.7059 |
| 47.9195 | 25.4706 | 76 | 2.3834 | 8.0476 | 188.0 |
| 47.9195 | 26.9412 | 80 | 2.3759 | 8.7276 | 188.7059 |
| 47.9195 | 28.0 | 84 | 2.3660 | 9.2347 | 188.1176 |
| 47.9195 | 29.4706 | 88 | 2.3581 | 9.4245 | 188.5294 |
| 47.9195 | 30.9412 | 92 | 2.3402 | 8.4889 | 188.4118 |
| 47.9195 | 32.0 | 96 | 2.3392 | 7.8988 | 188.2941 |
| 29.3827 | 33.4706 | 100 | 2.3161 | 8.3133 | 188.2941 |
| 29.3827 | 34.9412 | 104 | 2.2972 | 7.7801 | 186.6471 |
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