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bart-cnndm
Johnice/bart-cnndm
bart-cnndm is a summarization model from Johnice. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Oct 31, 2025
- SHA
- 012c37cf
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Base models
Datasets
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. -->
bart-cnndm
This model is a fine-tuned version of facebook/bart-base on an 20，000 pieces of news from abisee/cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.9615
- Rouge1: 35.04
- Rouge2: 14.58
- Rougel: 24.22
- Rougelsum: 32.09
- Gen Len: 70.5145
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.3.0
- Tokenizers 0.22.1
- Task
- Summarization
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Languages
- en
- Created
- Oct 30, 2025
- Updated
- Oct 31, 2025