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en-to-sw
KigenCHESS/en-to-sw
en-to-sw is a machine learning model from KigenCHESS. 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.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Apr 23, 2023
- Updated
- Apr 23, 2023
- SHA
- f0d70be2
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
KigenCHESS/en-to-sw
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-swc on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6498
- Validation Loss: 0.9300
- Epoch: 2
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 714, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.6519 | 0.9300 | 0 |
| 0.6526 | 0.9300 | 1 |
| 0.6498 | 0.9300 | 2 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Apr 23, 2023
- Updated
- Apr 23, 2023