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pii_obfuscation_model – AI Model by DeaganH | AlphaNeural AI
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DeaganH
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pii_obfuscation_model
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tf
distilbert
generated_from_keras_callback
apache-2.0
us
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pii_obfuscation_model
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0393
Validation Loss: 0.0271
Epoch: 9
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': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.5461
0.0756
0
0.0601
0.0438
1
0.0440
0.0294
2
0.0330
0.0346
3
0.0248
0.0262
4
0.0173
0.0367
5
0.0205
0.0271
6
0.0200
0.0482
7
0.0329
0.0491
8
0.0393
0.0271
9
Framework versions
Transformers 4.29.2
TensorFlow 2.10.1
Datasets 2.14.5
Tokenizers 0.13.3