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bart-finetuned-cnn-3
nizamudma/bart-finetuned-cnn-3
bart-finetuned-cnn-3 is a machine learning model from nizamudma. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- May 28, 2022
- Updated
- May 29, 2022
- SHA
- fbbd3692
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-finetuned-cnn-3
This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 2.0751
- Rouge1: 40.201
- Rouge2: 18.8482
- Rougel: 29.4439
- Rougelsum: 37.416
- Gen Len: 56.7545
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.276 | 1.0 | 8883 | 2.1762 | 39.6581 | 18.3333 | 28.7765 | 36.7688 | 58.5386 |
| 2.0806 | 2.0 | 17766 | 2.0909 | 40.0328 | 18.8026 | 29.417 | 37.3508 | 56.6804 |
| 1.9615 | 3.0 | 26649 | 2.0751 | 40.201 | 18.8482 | 29.4439 | 37.416 | 56.7545 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- May 28, 2022
- Updated
- May 29, 2022