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mBART_cnn_desc_LT_frozen_model_en_NEU
NastasiaM/mBART_cnn_desc_LT_frozen_model_en_NEU
mBART_cnn_desc_LT_frozen_model_en_NEU is a machine learning model from NastasiaM. 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
- Feb 28, 2026
- Updated
- Feb 28, 2026
- SHA
- a52023df
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_cnn_desc_LT_frozen_model_en_NEU
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: 3.1710
- Rouge1: 42.1401
- Rouge2: 19.5488
- Rougel: 28.9398
- Rougelsum: 28.9465
- Gen Len: 88.053
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: 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: 0.05
- num_epochs: 15
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.4642 | 1.0 | 1250 | 3.1450 | 39.7585 | 18.059 | 27.5195 | 27.4893 | 76.519 |
| 3.0463 | 2.0 | 2500 | 3.0404 | 40.8048 | 18.5089 | 27.7528 | 27.7546 | 88.686 |
| 2.7815 | 3.0 | 3750 | 3.0319 | 41.3588 | 19.2865 | 28.6475 | 28.6828 | 79.085 |
| 2.5848 | 4.0 | 5000 | 3.0631 | 42.1218 | 19.666 | 29.2477 | 29.2563 | 89.884 |
| 2.4263 | 5.0 | 6250 | 3.1108 | 41.243 | 18.9373 | 28.7128 | 28.7013 | 75.664 |
| 2.2935 | 6.0 | 7500 | 3.1710 | 42.1401 | 19.5488 | 28.9398 | 28.9465 | 88.053 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026