Downloads · 30 days
13
2% of all-time downloads
En-Af
kabelomalapane/En-Af
En-Af is a translation model from kabelomalapane. 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
815
Public
Repo size
591 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin295 MB · 99%
At a glance
- Task
- Translation
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Jun 5, 2022
- Updated
- Jun 5, 2022
- SHA
- 2c184120
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. -->
En-Af
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-af on the None dataset. It achieves the following results on the evaluation set: Before training:
- 'eval_bleu': 35.055184951449
- 'eval_loss': 2.225693941116333
After training:
- Loss: 2.0057
- Bleu: 44.2309
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Translation
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Jun 5, 2022
- Updated
- Jun 5, 2022