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translation_model_en_ko
pellucid/translation_model_en_ko
translation_model_en_ko is a machine learning model from pellucid. 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-4.0
- Model type
- marian
- Access
- Public
- Created
- Jun 22, 2023
- Updated
- Jun 22, 2023
- SHA
- 1564a1b3
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. -->
translation_model_en_ko
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 7.6056
- Bleu: 0.0555
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: 2e-05
- train_batch_size: 16
- 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
Training results
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- marian
- License
- cc-by-4.0
- Created
- Jun 22, 2023
- Updated
- Jun 22, 2023