Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-squad – AI Model by risethi | AlphaNeural AI
You can deploy this model and start earning money today!
risethi
/
distilbert-base-uncased-finetuned-squad
like
0
transformers
tf
tensorboard
distilbert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
risethi/distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.9709
Validation Loss: 1.1167
Epoch: 1
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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 11064, '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}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.5123
1.1586
0
0.9709
1.1167
1
Framework versions
Transformers 4.19.2
TensorFlow 2.8.2
Tokenizers 0.12.1
