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mbart_cnn_summarization_model_10K_4ep_1.2e-4_batch_8
NastasiaM/mbart_cnn_summarization_model_10K_4ep_1.2e-4_batch_8
mbart_cnn_summarization_model_10K_4ep_1.2e-4_batch_8 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 27, 2026
- Updated
- Feb 27, 2026
- SHA
- 1ec17069
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_10K_4ep_1.2e-4_batch_8
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: 2.1455
- Rouge1: 0.416
- Rouge2: 0.1896
- Rougel: 0.2889
- Rougelsum: 0.2888
- Gen Len: 81.12
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: 0.00012
- 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
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.4967 | 1.0 | 1250 | 2.6998 | 0.1988 | 0.0923 | 0.154 | 0.1539 | 72.012 |
| 1.5253 | 2.0 | 2500 | 1.7424 | 0.4147 | 0.1904 | 0.2904 | 0.2904 | 82.323 |
| 0.9505 | 3.0 | 3750 | 1.8347 | 0.4163 | 0.1938 | 0.2908 | 0.2907 | 78.323 |
| 0.4829 | 4.0 | 5000 | 2.1455 | 0.416 | 0.1896 | 0.2889 | 0.2888 | 81.12 |
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 27, 2026
- Updated
- Feb 27, 2026