Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bert-sentiment-analysis – AI Model by kskathe | AlphaNeural AI
You can deploy this model and start earning money today!
kskathe
/
bert-sentiment-analysis
like
0
tf
bert
generated_from_keras_callback
google-bert/bert-base-cased
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-sentiment-analysis
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: 0.1738
Validation Loss: 0.4620
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.2908
0.3998
0
0.1738
0.4620
1
Framework versions
Transformers 4.44.0
TensorFlow 2.16.1
Datasets 2.21.0
Tokenizers 0.19.1
