--- license: apache-2.0 base_model: shubhamgantayat/my_pii_model_bert_large_uncased_2 tags: - generated_from_trainer model-index: - name: my_pii_model_bert_large_uncased_2_v2 results: [] --- # my_pii_model_bert_large_uncased_2_v2 This model is a fine-tuned version of [shubhamgantayat/my_pii_model_bert_large_uncased_2](https://huggingface.co/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