Downloads · 30 days
7
15% of all-time downloads
bart-cnn-samsum-finetuned
SiyuK/bart-cnn-samsum-finetuned
bart-cnn-samsum-finetuned is a machine learning model from SiyuK. 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. --
All-time downloads
48
Public
Parameters
406M
4.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.6 GB · 100%
At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- May 23, 2024
- Updated
- May 28, 2024
- SHA
- e943537b
Base models
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-cnn-samsum-finetuned
This model is a fine-tuned version of facebook/bart-large-cnn on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.3268
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2322 | 1.0 | 37 | 0.3228 |
| 0.2097 | 2.0 | 74 | 0.3163 |
| 0.173 | 3.0 | 111 | 0.3172 |
| 0.1685 | 4.0 | 148 | 0.3258 |
| 0.1329 | 5.0 | 185 | 0.3268 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- May 23, 2024
- Updated
- May 28, 2024