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mbart_cnn_summarization_model
NastasiaM/mbart_cnn_summarization_model
mbart_cnn_summarization_model 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 26, 2026
- Updated
- Feb 26, 2026
- SHA
- 8a6ab191
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_summarization_model
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: 1.8130
- Rouge1: 0.4073
- Rouge2: 0.1843
- Rougel: 0.2826
- Rougelsum: 0.2825
- Gen Len: 78.94
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: 2
- eval_batch_size: 2
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.8236 | 1.0 | 2500 | 1.7350 | 0.3047 | 0.1373 | 0.2105 | 0.2098 | 62.742 |
| 1.4443 | 2.0 | 5000 | 1.6346 | 0.3992 | 0.1828 | 0.2767 | 0.2765 | 77.624 |
| 1.0541 | 3.0 | 7500 | 1.6999 | 0.4113 | 0.1893 | 0.2828 | 0.2827 | 78.278 |
| 0.7949 | 4.0 | 10000 | 1.8130 | 0.4073 | 0.1843 | 0.2826 | 0.2825 | 78.94 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Feb 26, 2026
- Updated
- Feb 26, 2026