Downloads · 30 days
7
4% of all-time downloads
t5-small-finetuned-xsum
mountcedar/t5-small-finetuned-xsum
t5-small-finetuned-xsum is a machine learning model from mountcedar. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
196
Public
Repo size
20.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.3 GB · 100%
At a glance
- Library
- transformers
- Model type
- pegasus
- Access
- Public
- Created
- Aug 17, 2023
- Updated
- Aug 17, 2023
- SHA
- af29576e
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. -->
t5-small-finetuned-xsum
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the xsum dataset.
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Library
- transformers
- Type
- pegasus
- Created
- Aug 17, 2023
- Updated
- Aug 17, 2023