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finetuned_byT5base_ddo_translit
lowresource-igt/finetuned_byT5base_ddo_translit
finetuned_byT5base_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 15, 2026
- Updated
- Jul 15, 2026
- SHA
- 056d2956
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_ddo_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: 0.0728
- Chrf++: 88.3925
- Gen Len: 133.9551
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 |
|---|---|---|---|---|---|
| 10.8772 | 1.9888 | 222 | 0.7321 | 17.0878 | 64.1978 |
| 5.3763 | 3.9708 | 444 | 0.4745 | 33.4925 | 226.836 |
| 3.5702 | 5.9528 | 666 | 0.2020 | 66.8015 | 136.5483 |
| 1.5335 | 7.9348 | 888 | 0.0882 | 82.8418 | 133.0067 |
| 0.6537 | 9.9169 | 1110 | 0.0700 | 86.544 | 134.0022 |
| 0.4570 | 11.8989 | 1332 | 0.0625 | 88.0634 | 132.636 |
| 0.3480 | 13.8809 | 1554 | 0.0662 | 88.1335 | 132.5528 |
| 0.2732 | 15.8629 | 1776 | 0.0634 | 88.9142 | 132.7056 |
| 0.2321 | 17.8449 | 1998 | 0.0673 | 89.1302 | 132.9663 |
| 0.1816 | 19.8270 | 2220 | 0.0689 | 87.7583 | 135.9393 |
| 0.1569 | 21.8090 | 2442 | 0.0722 | 88.8352 | 132.973 |
| 0.1442 | 23.7910 | 2664 | 0.0728 | 88.3925 | 133.9551 |
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 15, 2026
- Updated
- Jul 15, 2026