Downloads · 30 days
38
4% of all-time downloads
DistilBART_CNN_GNAD_V3
Einmalumdiewelt/DistilBART_CNN_GNAD_V3
DistilBART_CNN_GNAD_V3 is a machine learning model from Einmalumdiewelt. 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
924
Public
Repo size
35.4 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin1.2 GB · 100%
At a glance
- Library
- transformers
- Model type
- bart
- Access
- Public
- Created
- Aug 30, 2022
- Updated
- Aug 30, 2022
- SHA
- df417b66
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. -->
DistilBART_CNN_GNAD_V3
This model is a fine-tuned version of Einmalumdiewelt/DistilBART_CNN_GNAD_V3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8786
- Rouge1: 27.0297
- Rouge2: 8.1224
- Rougel: 17.9777
- Rougelsum: 22.8827
- Gen Len: 90.3667
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: 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: 10.0
Training results
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Library
- transformers
- Type
- bart
- Languages
- de
- Created
- Aug 30, 2022
- Updated
- Aug 30, 2022