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nllb-nde-fra-mt-v1
SalomonMetre13/nllb-nde-fra-mt-v1
nllb-nde-fra-mt-v1 is a translation model from SalomonMetre13. Use it when you need text moved from one language to another. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Translation
- Library
- transformers
- Model type
- m2m_100
- Access
- Public
- Created
- May 9, 2025
- Updated
- May 10, 2025
- SHA
- 3a93c772
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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-nde-fra-mt-v1
This model is a fine-tuned version of SalomonMetre13/nllb-nde-fra-mt-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2109
- eval_runtime: 168.8043
- eval_samples_per_second: 32.659
- eval_steps_per_second: 8.169
- epoch: 0.2418
- step: 3000
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
- 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: 200
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Translation
- Library
- transformers
- Type
- m2m_100
- Created
- May 9, 2025
- Updated
- May 10, 2025