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my_pii_model_bert_large_uncased_2_v2

This model is a fine-tuned version of shubhamgantayat/my_pii_model_bert_large_uncased_2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0002

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: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.0006 1.0 3268 0.0003
0.0002 2.0 6536 0.0002
0.0 3.0 9804 0.0002

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Model size
334M params
Tensor type
F32
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