Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
ReactionNecessity – AI Model by matmei | AlphaNeural AI
You can deploy this model and start earning money today!
matmei
/
ReactionNecessity
like
0
transformers
tf
distilbert
text-classification
generated_from_keras_callback
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
matmei/ReactionNecessity
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: 0.1711
Validation Loss: 0.4069
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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1750, '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
0.4596
0.3837
0
0.2965
0.4022
1
0.1711
0.4069
2
Framework versions
Transformers 4.36.0
TensorFlow 2.7.1
Datasets 2.18.0
Tokenizers 0.15.0
