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opus-rw-en-gazette-agri
LegendarySwordfish/opus-rw-en-gazette-agri
opus-rw-en-gazette-agri is a machine learning model from LegendarySwordfish. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025
- SHA
- 92338fd2
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. -->
opus-rw-en-gazette-agri
This model is a fine-tuned version of Helsinki-NLP/opus-mt-rw-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6211
- Bleu: 17.4506
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 4.2646 | 1.0 | 244 | 3.9578 | 15.0721 |
| 3.6322 | 2.0 | 488 | 3.6867 | 17.2281 |
| 3.4415 | 3.0 | 732 | 3.6211 | 17.4506 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025