---
license: apache-2.0
base_model: google-bert/bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: my_pii_model_bert_large_uncased_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# my_pii_model_bert_large_uncased_2

This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.001         | 1.0   | 3268 | 0.0006          |
| 0.0004        | 2.0   | 6536 | 0.0004          |
| 0.0001        | 3.0   | 9804 | 0.0003          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2