Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
sentiment-analysis – AI Model by keras-io | AlphaNeural AI
You can deploy this model and start earning money today!
keras-io
/
sentiment-analysis
like
0
transformers
tf
tensorboard
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
keras-io/sentiment-analysis
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: 0.6865
Validation Loss: 0.7002
Train Accuracy: 0.4908
Epoch: 4
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': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
0.6865
0.6975
0.4908
0
0.6865
0.6973
0.4908
1
0.6865
0.6976
0.4908
2
0.6865
0.6975
0.4908
3
0.6865
0.7002
0.4908
4
Framework versions
Transformers 4.16.2
TensorFlow 2.7.0
Datasets 1.18.2
Tokenizers 0.11.0
