Downloads · 30 days
13
1% of all-time downloads
bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-multi-news
Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-multi-news
bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-multi-news is a machine learning model from Atharvgarg. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
926
Public
Repo size
741 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin247 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- encoder-decoder
- Access
- Public
- Created
- Jul 18, 2022
- Updated
- Jul 19, 2022
- SHA
- ea3bcd4d
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. -->
bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-multi-news
This model is a fine-tuned version of mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization on the multi_news dataset. It achieves the following results on the evaluation set:
- Loss: 3.0185
- Rouge1: 38.9616
- Rouge2: 14.1539
- Rougel: 21.1788
- Rougelsum: 35.314
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.3679 | 1.0 | 11243 | 3.1314 | 38.4459 | 13.7777 | 20.8772 | 34.8321 |
| 3.1115 | 2.0 | 22486 | 3.0589 | 38.7419 | 13.9355 | 20.9911 | 35.0988 |
| 2.9826 | 3.0 | 33729 | 3.0311 | 38.7345 | 14.0365 | 21.0571 | 35.1604 |
| 2.8986 | 4.0 | 44972 | 3.0185 | 38.9616 | 14.1539 | 21.1788 | 35.314 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- encoder-decoder
- License
- apache-2.0
- Created
- Jul 18, 2022
- Updated
- Jul 19, 2022