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tab-anonymizer – AI Model by madaanpulkit | AlphaNeural AI
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madaanpulkit
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tab-anonymizer
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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tab-anonymizer
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0911
Precision: 0.8468
Recall: 0.8383
F1: 0.8425
Accuracy: 0.9731
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:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
64
0.1139
0.8298
0.8224
0.8261
0.9674
No log
2.0
128
0.0911
0.8468
0.8383
0.8425
0.9731
Framework versions
Transformers 4.32.0
Pytorch 1.12.0
Datasets 2.10.1
Tokenizers 0.13.3
