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t5-small-summarization
weijiahaha/t5-small-summarization
t5-small-summarization is a machine learning model from weijiahaha. 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.
This model is a fine-tuned version of t5-small (https://huggingface.co/t5-small) on the cnndailymail dataset. It achieves the following results on the evaluation set: - Loss: 1.6477
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jul 26, 2022
- Updated
- Sep 25, 2022
- SHA
- d2ae17a7
Datasets
Model card
From the Hugging Face model README
t5-small-summarization
This model is a fine-tuned version of t5-small (https://huggingface.co/t5-small) on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.6477
Model description
The following hyperparameters were used during training:
- learning_rate: 0.0002
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9195 | 1.0 | 718 | 1.6477 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 26, 2022
- Updated
- Sep 25, 2022