--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-250000-300000 - tomekkorbak/pii-pile-chunk3-300000-350000 - tomekkorbak/pii-pile-chunk3-350000-400000 - tomekkorbak/pii-pile-chunk3-400000-450000 - tomekkorbak/pii-pile-chunk3-450000-500000 - tomekkorbak/pii-pile-chunk3-500000-550000 - tomekkorbak/pii-pile-chunk3-550000-600000 - tomekkorbak/pii-pile-chunk3-600000-650000 - tomekkorbak/pii-pile-chunk3-650000-700000 - tomekkorbak/pii-pile-chunk3-700000-750000 - tomekkorbak/pii-pile-chunk3-750000-800000 - tomekkorbak/pii-pile-chunk3-800000-850000 - tomekkorbak/pii-pile-chunk3-850000-900000 - tomekkorbak/pii-pile-chunk3-900000-950000 - tomekkorbak/pii-pile-chunk3-950000-1000000 - tomekkorbak/pii-pile-chunk3-1000000-1050000 - tomekkorbak/pii-pile-chunk3-1050000-1100000 - tomekkorbak/pii-pile-chunk3-1100000-1150000 - tomekkorbak/pii-pile-chunk3-1150000-1200000 - tomekkorbak/pii-pile-chunk3-1200000-1250000 - tomekkorbak/pii-pile-chunk3-1250000-1300000 - tomekkorbak/pii-pile-chunk3-1300000-1350000 - tomekkorbak/pii-pile-chunk3-1350000-1400000 - tomekkorbak/pii-pile-chunk3-1400000-1450000 - tomekkorbak/pii-pile-chunk3-1450000-1500000 - tomekkorbak/pii-pile-chunk3-1500000-1550000 - tomekkorbak/pii-pile-chunk3-1550000-1600000 - tomekkorbak/pii-pile-chunk3-1600000-1650000 - tomekkorbak/pii-pile-chunk3-1650000-1700000 - tomekkorbak/pii-pile-chunk3-1700000-1750000 - tomekkorbak/pii-pile-chunk3-1750000-1800000 - tomekkorbak/pii-pile-chunk3-1800000-1850000 - tomekkorbak/pii-pile-chunk3-1850000-1900000 - tomekkorbak/pii-pile-chunk3-1900000-1950000 model-index: - name: tomekkorbak/test-pii-2533 results: [] --- # tomekkorbak/test-pii-2533 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the tomekkorbak/pii-pile-chunk3-0-50000, the tomekkorbak/pii-pile-chunk3-50000-100000, the tomekkorbak/pii-pile-chunk3-100000-150000, the tomekkorbak/pii-pile-chunk3-150000-200000, the tomekkorbak/pii-pile-chunk3-200000-250000, the tomekkorbak/pii-pile-chunk3-250000-300000, the tomekkorbak/pii-pile-chunk3-300000-350000, the tomekkorbak/pii-pile-chunk3-350000-400000, the tomekkorbak/pii-pile-chunk3-400000-450000, the tomekkorbak/pii-pile-chunk3-450000-500000, the tomekkorbak/pii-pile-chunk3-500000-550000, the tomekkorbak/pii-pile-chunk3-550000-600000, the tomekkorbak/pii-pile-chunk3-600000-650000, the tomekkorbak/pii-pile-chunk3-650000-700000, the tomekkorbak/pii-pile-chunk3-700000-750000, the tomekkorbak/pii-pile-chunk3-750000-800000, the tomekkorbak/pii-pile-chunk3-800000-850000, the tomekkorbak/pii-pile-chunk3-850000-900000, the tomekkorbak/pii-pile-chunk3-900000-950000, the tomekkorbak/pii-pile-chunk3-950000-1000000, the tomekkorbak/pii-pile-chunk3-1000000-1050000, the tomekkorbak/pii-pile-chunk3-1050000-1100000, the tomekkorbak/pii-pile-chunk3-1100000-1150000, the tomekkorbak/pii-pile-chunk3-1150000-1200000, the tomekkorbak/pii-pile-chunk3-1200000-1250000, the tomekkorbak/pii-pile-chunk3-1250000-1300000, the tomekkorbak/pii-pile-chunk3-1300000-1350000, the tomekkorbak/pii-pile-chunk3-1350000-1400000, the tomekkorbak/pii-pile-chunk3-1400000-1450000, the tomekkorbak/pii-pile-chunk3-1450000-1500000, the tomekkorbak/pii-pile-chunk3-1500000-1550000, the tomekkorbak/pii-pile-chunk3-1550000-1600000, the tomekkorbak/pii-pile-chunk3-1600000-1650000, the tomekkorbak/pii-pile-chunk3-1650000-1700000, the tomekkorbak/pii-pile-chunk3-1700000-1750000, the tomekkorbak/pii-pile-chunk3-1750000-1800000, the tomekkorbak/pii-pile-chunk3-1800000-1850000, the tomekkorbak/pii-pile-chunk3-1850000-1900000 and the tomekkorbak/pii-pile-chunk3-1900000-1950000 datasets. ## 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: 0.1 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.01 - training_steps: 1 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.20.1 - Pytorch 1.11.0+cu113 - Datasets 2.5.1 - Tokenizers 0.11.6