Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
albert-base-v2-finetuned-squad – AI Model by huggingliang | AlphaNeural AI
You can deploy this model and start earning money today!
huggingliang
/
albert-base-v2-finetuned-squad
like
0
transformers
tf
albert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
huggingliang/albert-base-v2-finetuned-squad
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.9699
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': 2e-05, 'decay_steps': 5539, '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
Epoch
0.9699
0
Framework versions
Transformers 4.29.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
