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nllb-shahmukhi-test
syedaafatima145/nllb-shahmukhi-test
nllb-shahmukhi-test is a machine learning model from syedaafatima145. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- m2m_100
- Access
- Public
- Created
- Apr 12, 2026
- Updated
- Apr 12, 2026
- SHA
- ce02575b
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. -->
nllb-shahmukhi-test
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1264
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8092 | 1.0 | 500 | 1.2672 |
| 1.265 | 2.0 | 1000 | 1.1526 |
| 1.1374 | 3.0 | 1500 | 1.1264 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.10.0+cu128
- Datasets 3.2.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- m2m_100
- License
- cc-by-nc-4.0
- Created
- Apr 12, 2026
- Updated
- Apr 12, 2026