Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
arabert-gec-v2-3 – AI Model by s3h | AlphaNeural AI
You can deploy this model and start earning money today!
s3h
/
arabert-gec-v2-3
like
0
transformers
tf
bert
fill-mask
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
s3h/arabert-gec-v2-2
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv02
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 8.3883
Validation Loss: 8.2485
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': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 573, '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
8.3883
8.2485
0
Framework versions
Transformers 4.14.1
TensorFlow 2.6.2
Datasets 1.17.0
Tokenizers 0.10.3
