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ascle-en-cs-UFAL-medical
li-lab/ascle-en-cs-UFAL-medical
ascle-en-cs-UFAL-medical is a machine learning model from li-lab. 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
- mt5
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Jul 4, 2024
- SHA
- 7aba83b7
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. -->
en-cs
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8569
- Bleu: 43.2977
- Gen Len: 29.7662
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: 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: 3.0
Training results
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Languages
- en, cs
- Created
- Jul 4, 2024
- Updated
- Jul 4, 2024