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t5-small-samsum
Kyjac/t5-small-samsum
t5-small-samsum is a machine learning model from Kyjac. 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 on the samsum dataset. It achieves the following results on the evaluation set: - Loss: 1.6972 - Rouge1: 44.9509 - Rouge2: 21.7162 - Rougel: 37.7582 - Rougelsum: 41.7239…
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 17, 2023
- Updated
- Jan 17, 2023
- SHA
- d6cc0f38
Datasets
Model card
From the Hugging Face model README
tst-summarization
This model is a fine-tuned version of t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.6972
- Rouge1: 44.9509
- Rouge2: 21.7162
- Rougel: 37.7582
- Rougelsum: 41.7239
- Gen Len: 22.7714
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: 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: 3.0
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cpu
- Datasets 2.8.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 17, 2023
- Updated
- Jan 17, 2023