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t5-small-finetuned-text-simplification
husseinMoh/t5-small-finetuned-text-simplification
t5-small-finetuned-text-simplification is a machine learning model from husseinMoh. 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
- Apr 1, 2023
- Updated
- Apr 2, 2023
- SHA
- 52918d16
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:
- eval_loss: 4.9058
- eval_sari: 57.2104
- eval_runtime: 907.1945
- eval_samples_per_second: 80.742
- eval_steps_per_second: 5.047
- epoch: 3.0
- step: 70089
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
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 1, 2023
- Updated
- Apr 2, 2023