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t5-small-finetuned-eLife
PeterBanning71/t5-small-finetuned-eLife
t5-small-finetuned-eLife is a summarization model from PeterBanning71. Use it when you need a shorter version of a longer text. 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
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Feb 12, 2023
- Updated
- Feb 12, 2023
- SHA
- 606fcb11
Try a prompt
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. -->
t5-small-finetuned-eLife
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8960
- Rouge1: 14.7239
- Rouge2: 2.8698
- Rougel: 11.0202
- Rougelsum: 13.3642
- Gen Len: 19.0
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: 2e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.3558 | 1.0 | 544 | 2.9587 | 13.7915 | 2.6556 | 10.3265 | 12.5097 | 19.0 |
| 3.1299 | 2.0 | 1088 | 2.9079 | 14.7136 | 2.7492 | 10.836 | 13.3664 | 19.0 |
| 3.0917 | 3.0 | 1632 | 2.8960 | 14.7239 | 2.8698 | 11.0202 | 13.3642 | 19.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 12, 2023
- Updated
- Feb 12, 2023