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nllb-600-norm-iwslt26
jorirsan/nllb-600-norm-iwslt26
nllb-600-norm-iwslt26 is a machine learning model from jorirsan. 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 peft. 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
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Feb 5, 2026
- Updated
- Feb 5, 2026
- SHA
- 099ea8e8
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-600-norm-iwslt26
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset.
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 100
- num_epochs: 3
Training results
Framework versions
- PEFT 0.18.1
- Transformers 4.51.0
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.21.4
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Feb 5, 2026
- Updated
- Feb 5, 2026