Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-base-kaggle – AI Model by hugomssantos | AlphaNeural AI
You can deploy this model and start earning money today!
hugomssantos
/
roberta-base-kaggle
like
0
transformers
tf
roberta
token-classification
generated_from_keras_callback
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
hugomssantos/roberta-base-kaggle
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0158
Validation Loss: 0.0106
Train Precision: 0.9132
Train Recall: 0.9612
Train F1: 0.9366
Train Accuracy: 0.9972
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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 414, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Precision
Train Recall
Train F1
Train Accuracy
Epoch
0.2683
0.0314
0.8
0.7978
0.7989
0.9896
0
0.0287
0.0132
0.9105
0.9584
0.9339
0.9959
1
0.0158
0.0106
0.9132
0.9612
0.9366
0.9972
2
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1
