Downloads · 30 days
3
11% of all-time downloads
bart-base-finetuned-CNN-DailyNews
funkodave/bart-base-finetuned-CNN-DailyNews
bart-base-finetuned-CNN-DailyNews is a machine learning model from funkodave. 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. --
All-time downloads
28
Public
Parameters
139M
558 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors558 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Dec 11, 2024
- Updated
- Dec 11, 2024
- SHA
- 827c5c2c
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-base-finetuned-CNN-DailyNews
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9284
- Rouge1: 0.1923
- Rouge2: 0.1146
- Rougel: 0.1706
- Rougelsum: 0.179
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.7862 | 1.0 | 63 | 1.8706 | 0.18 | 0.0975 | 0.1589 | 0.1682 |
| 1.5711 | 2.0 | 126 | 1.8496 | 0.1961 | 0.1083 | 0.1687 | 0.1828 |
| 1.3889 | 3.0 | 189 | 1.8587 | 0.1871 | 0.1068 | 0.1627 | 0.1749 |
| 1.2835 | 4.0 | 252 | 1.8849 | 0.1894 | 0.107 | 0.1667 | 0.177 |
| 1.1376 | 5.0 | 315 | 1.8970 | 0.1918 | 0.1094 | 0.168 | 0.1775 |
| 1.0882 | 6.0 | 378 | 1.9242 | 0.1947 | 0.1175 | 0.1727 | 0.1828 |
| 0.9975 | 7.0 | 441 | 1.9155 | 0.191 | 0.1094 | 0.1685 | 0.1766 |
| 0.9669 | 8.0 | 504 | 1.9284 | 0.1923 | 0.1146 | 0.1706 | 0.179 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Dec 11, 2024
- Updated
- Dec 11, 2024