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nllb_complete
Leonel-Maia/nllb_complete
nllb_complete is a machine learning model from Leonel-Maia. 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
- Jun 10, 2025
- Updated
- Aug 15, 2025
- SHA
- d033c83a
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_complete
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5537
- Bleu: 54.0987
- Gen Len: 17.1547
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use adamw_torch 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: 5000
- num_epochs: 24.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7527 | 2.0916 | 10000 | 0.7154 | 41.0087 | 17.0123 |
| 0.5274 | 4.1832 | 20000 | 0.5901 | 46.2079 | 17.2597 |
| 0.4209 | 6.2748 | 30000 | 0.5502 | 49.6827 | 17.0787 |
| 0.381 | 8.3665 | 40000 | 0.5324 | 51.0468 | 17.1997 |
| 0.3123 | 10.4581 | 50000 | 0.5264 | 52.239 | 17.0687 |
| 0.279 | 12.5497 | 60000 | 0.5292 | 52.8077 | 17.163 |
| 0.2568 | 14.6413 | 70000 | 0.5320 | 53.2148 | 17.1983 |
| 0.2234 | 16.7329 | 80000 | 0.5415 | 53.2988 | 17.1817 |
| 0.2208 | 18.8245 | 90000 | 0.5455 | 53.9008 | 17.1253 |
| 0.2179 | 20.9162 | 100000 | 0.5501 | 54.2302 | 17.107 |
| 0.2057 | 23.0077 | 110000 | 0.5537 | 54.0987 | 17.1547 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2
- Library
- transformers
- Type
- m2m_100
- License
- cc-by-nc-4.0
- Created
- Jun 10, 2025
- Updated
- Aug 15, 2025