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nllb_sanlish_to_bangla_epoch25
thunderboltc/nllb_sanlish_to_bangla_epoch25
nllb_sanlish_to_bangla_epoch25 is a machine learning model from thunderboltc. 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
- Aug 23, 2026
- Updated
- Aug 24, 2026
- SHA
- 2da6da43
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_sanlish_to_bangla_epoch25
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:
- eval_loss: 2.2408
- eval_bleu: 12.3708
- eval_chrf: 37.2318
- eval_meteor: 0.2869
- eval_bertscore_f1: 0.8346
- eval_runtime: 14.0781
- eval_samples_per_second: 13.425
- eval_steps_per_second: 1.705
- epoch: 23.0
- step: 4347
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: 8
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 25
- mixed_precision_training: Native AMP
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- m2m_100
- License
- cc-by-nc-4.0
- Created
- Aug 23, 2026
- Updated
- Aug 24, 2026