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finetuned_byT5base_pan_translit
lowresource-igt/finetuned_byT5base_pan_translit
finetuned_byT5base_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
- ec8082a5
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_byT5base_pan_translit
This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8576
- Chrf++: 6.8047
- Gen Len: 188.4375
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 |
|---|---|---|---|---|---|
| 25.7837 | 1.0 | 2 | 2.8930 | 6.6649 | 188.0 |
| 25.7837 | 2.0 | 4 | 2.8969 | 6.6649 | 188.0 |
| 25.7837 | 3.0 | 6 | 2.8924 | 7.1427 | 187.9375 |
| 25.7837 | 4.0 | 8 | 2.8937 | 7.8609 | 187.9375 |
| 25.7837 | 5.0 | 10 | 2.8935 | 6.4812 | 188.25 |
| 25.7837 | 6.0 | 12 | 2.8967 | 6.5964 | 188.0625 |
| 25.7837 | 7.0 | 14 | 2.8929 | 6.8291 | 188.1875 |
| 25.7837 | 8.0 | 16 | 2.8944 | 6.7433 | 187.8125 |
| 25.7837 | 9.0 | 18 | 2.8912 | 7.1998 | 187.8125 |
| 25.7837 | 10.0 | 20 | 2.8907 | 6.9054 | 188.0625 |
| 25.7837 | 11.0 | 22 | 2.8879 | 7.0101 | 188.0625 |
| 25.7837 | 12.0 | 24 | 2.8870 | 7.0889 | 187.9375 |
| 25.7837 | 13.0 | 26 | 2.8833 | 6.8975 | 188.0625 |
| 25.7837 | 14.0 | 28 | 2.8834 | 5.9333 | 187.9375 |
| 25.7837 | 15.0 | 30 | 2.8808 | 5.8336 | 187.9375 |
| 25.7837 | 16.0 | 32 | 2.8743 | 5.8407 | 187.9375 |
| 25.7837 | 17.0 | 34 | 2.8677 | 6.5105 | 187.8125 |
| 25.7837 | 18.0 | 36 | 2.8610 | 5.8395 | 188.0625 |
| 25.7837 | 19.0 | 38 | 2.8576 | 6.8047 | 188.4375 |
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