Downloads · 30 days
9
2% of all-time downloads
multi_doc_sum
whu9/multi_doc_sum
multi_doc_sum is a machine learning model from whu9. 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
514
Public
Repo size
60.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.1 GB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 8, 2023
- Updated
- Mar 14, 2023
- SHA
- 2c7321c9
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. -->
multi_doc_sum
This model is a fine-tuned version of on the cnn_dailymail 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cu113
- Datasets 2.10.1
- Tokenizers 0.13.0
- Library
- transformers
- Type
- t5
- Created
- Mar 8, 2023
- Updated
- Mar 14, 2023