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bart-cnn-samsum-finetuned
rmdhnftrh/bart-cnn-samsum-finetuned
bart-cnn-samsum-finetuned is a machine learning model from rmdhnftrh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Oct 9, 2025
- Updated
- Oct 9, 2025
- SHA
- fbcbfd44
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. -->
bart-cnn-samsum-finetuned
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3622
- Rouge1: 40.4969
- Rouge2: 18.8894
- Rougel: 29.0806
- Rougelsum: 29.333
- Gen Len: 65.1111
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.8062 | 1.0 | 19 | 0.3622 | 40.4969 | 18.8894 | 29.0806 | 29.333 | 65.1111 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.19.1
- Type
- bart
- License
- mit
- Created
- Oct 9, 2025
- Updated
- Oct 9, 2025