Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
tf_bert_uncased_emotion_detection2 – AI Model by sriAryan18 | AlphaNeural AI
You can deploy this model and start earning money today!
sriAryan18
/
tf_bert_uncased_emotion_detection2
like
0
transformers
tf
bert
text-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
tf_bert_uncased_emotion_detection2
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0621
Train Accuracy: 0.9701
Validation Loss: 0.1144
Validation Accuracy: 0.9385
Epoch: 3
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Trainig data : emotion
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 6000, '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-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.3768
0.8637
0.1393
0.9345
0
0.1185
0.9426
0.1309
0.9380
1
0.0785
0.9583
0.1144
0.9385
2
0.0621
0.9701
0.1144
0.9385
3
Framework versions
Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.7.0
Tokenizers 0.13.2
