Downloads · 30 days
15
25% of all-time downloads
opus-en-et-demo
chiunhau/opus-en-et-demo
opus-en-et-demo is a machine learning model from chiunhau. 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. --
All-time downloads
60
Public
Parameters
77M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors308 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Jan 4, 2026
- Updated
- Jan 4, 2026
- SHA
- 269e2e8b
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-en-et-demo
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on an unknown 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Jan 4, 2026
- Updated
- Jan 4, 2026