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bert-small2bert-small-finetuned-cnn_daily_mail-summarization-test-bert-finetuned
EJaalborg2022/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-test-bert-finetuned
bert-small2bert-small-finetuned-cnn_daily_mail-summarization-test-bert-finetuned is a machine learning model from EJaalborg2022. 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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- encoder-decoder
- Access
- Public
- Created
- Mar 9, 2023
- Updated
- Mar 9, 2023
- SHA
- 27ab94f1
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-test-bert-finetuned
This model is a fine-tuned version of mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization on an unknown 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: 5.6e-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: 8
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- encoder-decoder
- License
- apache-2.0
- Created
- Mar 9, 2023
- Updated
- Mar 9, 2023