Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
3epoch-1warmup-0.1decay-2e-6lr – AI Model by ajdowney | AlphaNeural AI
You can deploy this model and start earning money today!
ajdowney
/
3epoch-1warmup-0.1decay-2e-6lr
like
0
transformers
tf
bert
token-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ajdowney/3epoch-1warmup-0.1decay-2e-6lr
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.4965
Validation Loss: 0.5919
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-06, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 170, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '
passive_serialization
': True}, 'warmup_steps': 1, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.6140
0.5996
0
0.5101
0.5929
1
0.4965
0.5919
2
Framework versions
Transformers 4.23.1
TensorFlow 2.10.0
Datasets 2.6.1
Tokenizers 0.13.1
