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t5-small-finetuned-eLife-tfg
PeterBanning71/t5-small-finetuned-eLife-tfg
t5-small-finetuned-eLife-tfg 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
- Mar 17, 2023
- Updated
- Mar 17, 2023
- SHA
- 67c8893d
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-tfg
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9086
- Rouge1: 14.1818
- Rouge2: 2.6381
- Rougel: 10.4961
- Rougelsum: 12.8458
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 459 | 2.9705 | 13.2225 | 2.4541 | 10.0332 | 11.9703 | 19.0 |
| 3.3543 | 2.0 | 918 | 2.9211 | 13.9672 | 2.601 | 10.3831 | 12.6062 | 19.0 |
| 3.1411 | 3.0 | 1377 | 2.9086 | 14.1818 | 2.6381 | 10.4961 | 12.8458 | 19.0 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 17, 2023
- Updated
- Mar 17, 2023