Downloads · 30 days
17
3% of all-time downloads
xsum_headline_generator
valurank/xsum_headline_generator
xsum_headline_generator is a summarization model from valurank. Use it when you need a shorter version of a longer text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
585
Public
Repo size
4.6 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin2.3 GB · 100%
At a glance
- Task
- Summarization
- Library
- transformers
- Model type
- pegasus
- Access
- Public
- Created
- Jul 27, 2022
- Updated
- Apr 12, 2023
- SHA
- aa585e8f
Try a prompt
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. -->
xsum_headline_generator_depreciated
This model is a fine-tuned version of google/pegasus-multi_news on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3521
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6447 | 0.8 | 500 | 0.4893 |
| 0.3729 | 1.6 | 1000 | 0.3570 |
| 0.3663 | 2.4 | 1500 | 0.3521 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Summarization
- Library
- transformers
- Type
- pegasus
- Created
- Jul 27, 2022
- Updated
- Apr 12, 2023