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mbart-large-50-stage1-summary-only
anupa41222/mbart-large-50-stage1-summary-only
mbart-large-50-stage1-summary-only is a machine learning model from anupa41222. 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
- May 10, 2026
- Updated
- May 10, 2026
- SHA
- 310f8395
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-stage1-summary-only
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: 1.6078
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: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use 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: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8522 | 1.0 | 127 | 1.3287 |
| 2.3178 | 2.0 | 254 | 1.0195 |
| 1.6341 | 3.0 | 381 | 0.8336 |
| 1.3558 | 4.0 | 508 | 0.8433 |
| 1.1516 | 5.0 | 635 | 0.8453 |
| 1.1106 | 6.0 | 762 | 1.0699 |
| 0.7112 | 7.0 | 889 | 0.9277 |
| 0.5613 | 8.0 | 1016 | 1.0087 |
| 0.4208 | 9.0 | 1143 | 1.0854 |
| 0.3320 | 10.0 | 1270 | 1.1444 |
| 0.2509 | 11.0 | 1397 | 1.1901 |
| 0.2093 | 12.0 | 1524 | 1.2487 |
| 0.1730 | 13.0 | 1651 | 1.2882 |
| 0.1405 | 14.0 | 1778 | 1.3194 |
| 0.1198 | 15.0 | 1905 | 1.3390 |
| 0.0999 | 16.0 | 2032 | 1.3764 |
| 0.0878 | 17.0 | 2159 | 1.3972 |
| 0.0753 | 18.0 | 2286 | 1.4139 |
| 0.0671 | 19.0 | 2413 | 1.4172 |
| 0.0574 | 20.0 | 2540 | 1.4491 |
| 0.0492 | 21.0 | 2667 | 1.4690 |
| 0.0418 | 22.0 | 2794 | 1.4903 |
| 0.0376 | 23.0 | 2921 | 1.5011 |
| 0.0316 | 24.0 | 3048 | 1.5058 |
| 0.0301 | 25.0 | 3175 | 1.5156 |
| 0.0250 | 26.0 | 3302 | 1.5335 |
| 0.0217 | 27.0 | 3429 | 1.5414 |
| 0.0195 | 28.0 | 3556 | 1.5563 |
| 0.0187 | 29.0 | 3683 | 1.5464 |
| 0.0164 | 30.0 | 3810 | 1.5691 |
| 0.0149 | 31.0 | 3937 | 1.5858 |
| 0.0129 | 32.0 | 4064 | 1.5768 |
| 0.0117 | 33.0 | 4191 | 1.5857 |
| 0.0115 | 34.0 | 4318 | 1.5894 |
| 0.0099 | 35.0 | 4445 | 1.6025 |
| 0.0093 | 36.0 | 4572 | 1.5977 |
| 0.0088 | 37.0 | 4699 | 1.6049 |
| 0.0084 | 38.0 | 4826 | 1.6112 |
| 0.0075 | 39.0 | 4953 | 1.6085 |
| 0.0077 | 40.0 | 5080 | 1.6078 |
Framework versions
- Transformers 5.8.0
- Pytorch 2.11.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- May 10, 2026
- Updated
- May 10, 2026