Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
xlm-roberta-base_sentiment – AI Model by vjsyong | AlphaNeural AI
You can deploy this model and start earning money today!
vjsyong
/
xlm-roberta-base_sentiment
like
0
transformers
tf
xlm-roberta
text-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vjsyong/xlm-roberta-base_sentiment
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1538
Validation Loss: 0.1913
Train Accuracy: 0.9312
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': 9375, '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
Train Accuracy
Epoch
0.4806
0.2300
0.9078
0
0.2233
0.1953
0.9252
1
0.1538
0.1913
0.9312
2
Framework versions
Transformers 4.27.3
TensorFlow 2.10.0
Datasets 2.10.1
Tokenizers 0.13.2
