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v2-v1_correct_correct_pairs_model_mbart_large
SPEAK-PP/v2-v1_correct_correct_pairs_model_mbart_large
v2-v1_correct_correct_pairs_model_mbart_large is a machine learning model from SPEAK-PP. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Jan 28, 2026
- Updated
- Jan 28, 2026
- SHA
- 8ed6f4f4
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. -->
mBART-large-50-si-2
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0337
- Bleu: 64.7407
- Exact Match: 0.4607
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: 32
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Exact Match |
|---|---|---|---|---|---|
| 0.0436 | 0.8278 | 500 | 0.0407 | 58.7860 | 0.3622 |
| 0.0278 | 1.6556 | 1000 | 0.0311 | 56.6939 | 0.4049 |
| 0.0188 | 2.4834 | 1500 | 0.0295 | 63.7207 | 0.4437 |
| 0.0106 | 3.3113 | 2000 | 0.0318 | 63.6282 | 0.4451 |
| 0.0072 | 4.1391 | 2500 | 0.0333 | 64.3830 | 0.4582 |
| 0.0065 | 4.9669 | 3000 | 0.0337 | 64.7407 | 0.4607 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Jan 28, 2026
- Updated
- Jan 28, 2026