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byt5-persian-phonetic
amirmanouch/byt5-persian-phonetic
byt5-persian-phonetic is a machine learning model from amirmanouch. 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
- Dec 3, 2025
- Updated
- Dec 4, 2025
- SHA
- 20d42909
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. -->
byt5-persian-phonetic
This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1780
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5735 | 0.2058 | 200 | 0.3625 |
| 0.3599 | 0.4115 | 400 | 0.2718 |
| 0.2929 | 0.6173 | 600 | 0.2468 |
| 0.2852 | 0.8230 | 800 | 0.2230 |
| 0.2659 | 1.0288 | 1000 | 0.2152 |
| 0.2419 | 1.2346 | 1200 | 0.2075 |
| 0.2453 | 1.4403 | 1400 | 0.2042 |
| 0.2336 | 1.6461 | 1600 | 0.1957 |
| 0.2286 | 1.8519 | 1800 | 0.1972 |
| 0.2062 | 2.0576 | 2000 | 0.1946 |
| 0.2064 | 2.2634 | 2200 | 0.1934 |
| 0.2067 | 2.4691 | 2400 | 0.1896 |
| 0.209 | 2.6749 | 2600 | 0.1851 |
| 0.196 | 2.8807 | 2800 | 0.1853 |
| 0.1874 | 3.0864 | 3000 | 0.1875 |
| 0.1967 | 3.2922 | 3200 | 0.1811 |
| 0.1991 | 3.4979 | 3400 | 0.1825 |
| 0.1891 | 3.7037 | 3600 | 0.1818 |
| 0.1887 | 3.9095 | 3800 | 0.1799 |
| 0.1892 | 4.1152 | 4000 | 0.1791 |
| 0.1809 | 4.3210 | 4200 | 0.1791 |
| 0.187 | 4.5267 | 4400 | 0.1787 |
| 0.1792 | 4.7325 | 4600 | 0.1785 |
| 0.1795 | 4.9383 | 4800 | 0.1780 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 3, 2025
- Updated
- Dec 4, 2025