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t5-small-finetuned-xlsum-en
ahmeddbahaa/t5-small-finetuned-xlsum-en
t5-small-finetuned-xlsum-en is a summarization model from ahmeddbahaa. 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 22, 2022
- Updated
- Mar 22, 2022
- SHA
- 99e2f7d5
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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. -->
t5-small-finetuned-xlsum-en
This model is a fine-tuned version of t5-small on the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.6629
- Rouge1: 23.7508
- Rouge2: 5.5427
- Rougel: 18.6777
- Rougelsum: 18.652
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: 5.6e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.0789 | 1.0 | 1010 | 2.6881 | 22.6824 | 4.4735 | 17.6707 | 17.5485 |
| 2.9223 | 2.0 | 2020 | 2.6629 | 23.7508 | 5.5427 | 18.6777 | 18.652 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 22, 2022
- Updated
- Mar 22, 2022