Downloads · 30 days
8
2% of all-time downloads
opus-finetuned-de-bar
whher/opus-finetuned-de-bar
opus-finetuned-de-bar is a translation model from whher. Use it when you need text moved from one language to another. 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
382
Public
Repo size
2.1 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin302 MB · 100%
At a glance
- Task
- Translation
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Dec 14, 2022
- Updated
- Dec 14, 2022
- SHA
- 0eb2918a
Try a prompt
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-finetuned-de-bar
This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-fr on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1192
- Bleu: 11.2681
- Chrf: 62.8905
- Ter: 49.5446
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: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Translation
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Dec 14, 2022
- Updated
- Dec 14, 2022