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en-bal-latin-v2
shehzadkhalid04/en-bal-latin-v2
en-bal-latin-v2 is a machine learning model from shehzadkhalid04. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- marian
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Jun 11, 2026
- SHA
- 973db34b
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. -->
en-bal-latin-v2
This model is a fine-tuned version of shehzadkhalid04/balochi-latani on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1554
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: 32
- eval_batch_size: 16
- seed: 42
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3135 | 1.0 | 899 | 0.1732 |
| 0.1672 | 2.0 | 1798 | 0.1649 |
| 0.1384 | 3.0 | 2697 | 0.1590 |
| 0.1192 | 4.0 | 3596 | 0.1560 |
| 0.1058 | 5.0 | 4495 | 0.1554 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
- Library
- transformers
- Type
- marian
- License
- mit
- Created
- Jun 10, 2026
- Updated
- Jun 11, 2026