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nllb_no-bible
Leonel-Maia/nllb_no-bible
nllb_no-bible 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 9, 2025
- Updated
- Jun 10, 2025
- SHA
- 323ae2c0
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_no-bible
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: 1.4249
- Bleu: 33.5139
- Gen Len: 11.1555
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|---|
| 2.1936 | 1.6500 | 2000 | 2.0686 | 13.8106 | 10.808 |
| 1.9063 | 3.3003 | 4000 | 1.8496 | 16.7763 | 10.9075 |
| 1.7203 | 4.9503 | 6000 | 1.6896 | 20.1126 | 10.9885 |
| 1.4259 | 6.6005 | 8000 | 1.5862 | 22.5939 | 10.8995 |
| 1.3026 | 8.2508 | 10000 | 1.5339 | 25.2891 | 10.8755 |
| 1.2261 | 9.9008 | 12000 | 1.4865 | 27.5256 | 10.9915 |
| 1.1059 | 11.5510 | 14000 | 1.4636 | 29.2702 | 11.0315 |
| 1.0439 | 13.2013 | 16000 | 1.4566 | 29.6703 | 11.085 |
| 1.0085 | 14.8513 | 18000 | 1.4356 | 31.0705 | 11.278 |
| 0.965 | 16.5015 | 20000 | 1.4307 | 31.8381 | 11.1125 |
| 0.9471 | 18.1518 | 22000 | 1.4317 | 32.6844 | 11.116 |
| 0.8634 | 19.8018 | 24000 | 1.4242 | 33.2794 | 11.168 |
| 0.8523 | 21.4520 | 26000 | 1.4265 | 33.3032 | 11.1495 |
| 0.8494 | 23.1023 | 28000 | 1.4249 | 33.5139 | 11.1555 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- m2m_100
- License
- cc-by-nc-4.0
- Created
- Jun 9, 2025
- Updated
- Jun 10, 2025