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deberta3base-pii – AI Model by zhan | AlphaNeural AI
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zhan
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deberta3base-pii
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transformers
safetensors
deberta-v2
token-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
endpoints_compatible
us
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deberta3base-pii
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset.
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.45.0
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.20.3
