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bart_large-tldr-news
eshwarZugz/bart_large-tldr-news
bart_large-tldr-news is a machine learning model from eshwarZugz. 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
- Dec 10, 2022
- Updated
- Dec 10, 2022
- SHA
- e5c3fa72
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-tldr-news
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1949
- Rouge1: 20.747
- Rouge2: 8.4086
- Rougel: 17.4662
- Rougelsum: 18.1462
- Gen Len: 70.6259
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: 2e-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 |
|---|---|---|---|---|---|---|---|---|
| 0.3034 | 1.0 | 893 | 2.1949 | 20.747 | 8.4086 | 17.4662 | 18.1462 | 70.6259 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Dec 10, 2022
- Updated
- Dec 10, 2022