Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-german-uncased-finetuned-recipes – AI Model by yegh | AlphaNeural AI
You can deploy this model and start earning money today!
yegh
/
bert-base-german-uncased-finetuned-recipes
like
0
transformers
tf
bert
fill-mask
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
yegh/bert-base-german-uncased-finetuned-recipes
This model is a fine-tuned version of
dbmdz/bert-base-german-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.2342
Validation Loss: 2.0627
Epoch: 0
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': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -969, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '
passive_serialization
': True}, 'warmup_steps': 1000, 'power': 1.0, '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
2.2342
2.0627
0
Framework versions
Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
