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nf_classifier – AI Model by jcollingj | AlphaNeural AI | AlphaNeural AI
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jcollingj
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nf_classifier
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transformers
tf
roberta
text-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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AI-detector2
This model is a fine-tuned version of
roberta-base-openai-detector
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0009
Train Accuracy: 1.0
Validation Loss: 0.1324
Validation Accuracy: 0.9729
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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.4948
0.8545
0.1266
0.9535
0
0.0460
0.9845
0.1118
0.9690
1
0.0040
1.0
0.1118
0.9729
2
0.0014
1.0
0.0958
0.9767
3
0.0009
1.0
0.1324
0.9729
4
Framework versions
Transformers 4.30.2
TensorFlow 2.12.0
Tokenizers 0.13.3
