Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
indobert-indolem-uncased-qa – AI Model by Rifky | AlphaNeural AI
You can deploy this model and start earning money today!
Rifky
/
indobert-indolem-uncased-qa
like
0
transformers
pytorch
tf
bert
question-answering
generated_from_keras_callback
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Rifky/indobert-indolem-uncased-qa
This model is a fine-tuned version of
indolem/indobert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.4372
Validation Loss: 1.8204
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': 2e-05, 'decay_steps': 82010, '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: float32
Training results
Train Loss
Validation Loss
Epoch
2.1214
1.8819
0
1.6213
1.8053
1
1.4372
1.8204
2
Framework versions
Transformers 4.27.4
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3
