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opus-mt-zh-en-finetuned-cs-instruction
yl31/opus-mt-zh-en-finetuned-cs-instruction
opus-mt-zh-en-finetuned-cs-instruction is a machine learning model from yl31. 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
- Dec 3, 2024
- Updated
- Dec 4, 2024
- SHA
- 316a2406
Base models
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. -->
opus-mt-zh-en-finetuned-cs-instruction
This model is a fine-tuned version of Helsinki-NLP/opus-mt-zh-en on the None dataset.
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- transformers
- Type
- marian
- License
- cc-by-4.0
- Created
- Dec 3, 2024
- Updated
- Dec 4, 2024