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omowe-t5-small-diacritizer-all-und-full
Davlan/omowe-t5-small-diacritizer-all-und-full
omowe-t5-small-diacritizer-all-und-full is a machine learning model from Davlan. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Sep 7, 2023
- Updated
- Sep 11, 2023
- SHA
- 89f8bffc
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_yo_yor
This model is a fine-tuned version of ../teams/yor-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4178
- Bleu: 78.1088
- Gen Len: 30.37
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- Languages
- yo, yor
- Created
- Sep 7, 2023
- Updated
- Sep 11, 2023