Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
en-to-sw – AI Model by KigenCHESS | AlphaNeural AI
You can deploy this model and start earning money today!
KigenCHESS
/
en-to-sw
like
0
transformers
tf
marian
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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
