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t5-small-finetuned-text-simplification
NourEldin-Osama/t5-small-finetuned-text-simplification
t5-small-finetuned-text-simplification is a machine learning model from NourEldin-Osama. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 23, 2023
- Updated
- Mar 23, 2023
- SHA
- b0971853
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-text-simplification
This model is a fine-tuned version of t5-small on the wiki_auto dataset. It achieves the following results on the evaluation set:
- Loss: 4.9119
- Sari: 57.2334
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: 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sari |
|---|---|---|---|---|
| 1.6567 | 1.0 | 23363 | 4.5102 | 58.1853 |
| 3.7655 | 2.0 | 46726 | 4.9119 | 57.2334 |
| 3.7498 | 3.0 | 70089 | 4.9119 | 57.2334 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 23, 2023
- Updated
- Mar 23, 2023