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roberta-base-duplicate-Q-A – AI Model by VinayakMane47 | AlphaNeural AI
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VinayakMane47
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roberta-base-duplicate-Q-A
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transformers
tf
roberta
text-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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VinayakMane47/roberta-base-duplicate-Q-A
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: 0.1604
Train Accuracy: 0.9356
Validation Loss: 0.2295
Validation Accuracy: 0.9117
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 15159, '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, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.2942
0.8692
0.2387
0.8992
0
0.2091
0.9133
0.2299
0.9062
1
0.1604
0.9356
0.2295
0.9117
2
Framework versions
Transformers 4.28.1
TensorFlow 2.11.0
Datasets 2.1.0
Tokenizers 0.13.3
