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finetuned-t5-cnn_dailymail
mute667/finetuned-t5-cnn_dailymail
finetuned-t5-cnn_dailymail is a machine learning model from mute667. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024
- SHA
- 7ab60e4c
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. -->
finetuned-t5-cnn_dailymail
This model is a fine-tuned version of google-t5/t5-small on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:
- Loss: 2.1540
- Rouge1: 33.1828
- Rouge2: 13.6949
- Rougel: 24.676
- Rougelsum: 30.7087
- Gen Len: 58.74
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.2+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- t5
- License
- apache-2.0
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024