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bart-large-cnn-finetuned-scope-summarization
nandavikas16/bart-large-cnn-finetuned-scope-summarization
bart-large-cnn-finetuned-scope-summarization is a machine learning model from nandavikas16. 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
- bart
- Access
- Public
- Created
- Feb 26, 2024
- Updated
- Sep 11, 2024
- SHA
- 51173a9c
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-large-cnn-finetuned-scope-summarization
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: 0.1120
- Rouge1: 51.232
- Rouge2: 37.3103
- Rougel: 39.2783
- Rougelsum: 39.2011
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: 5.6e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.6379 | 1.0 | 40 | 0.2289 | 45.9991 | 29.5151 | 34.3864 | 34.3984 |
| 0.2731 | 2.0 | 80 | 0.1935 | 47.3991 | 33.1933 | 38.1538 | 38.0514 |
| 0.2362 | 3.0 | 120 | 0.1734 | 47.4125 | 32.2496 | 35.7852 | 35.8279 |
| 0.222 | 4.0 | 160 | 0.1665 | 46.2226 | 32.0249 | 37.016 | 36.8941 |
| 0.2005 | 5.0 | 200 | 0.1530 | 50.1647 | 35.1015 | 39.0526 | 39.0721 |
| 0.1971 | 6.0 | 240 | 0.1434 | 49.7914 | 35.5371 | 39.2372 | 39.244 |
| 0.1754 | 7.0 | 280 | 0.1286 | 49.8482 | 35.7536 | 40.2412 | 40.2248 |
| 0.1777 | 8.0 | 320 | 0.1187 | 51.6342 | 38.223 | 41.4109 | 41.3626 |
| 0.1555 | 9.0 | 360 | 0.1149 | 49.1858 | 36.1404 | 38.857 | 38.7268 |
| 0.1415 | 10.0 | 400 | 0.1120 | 51.232 | 37.3103 | 39.2783 | 39.2011 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Feb 26, 2024
- Updated
- Sep 11, 2024