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---
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: jolly_saha
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# jolly_saha

This model was trained from scratch 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 3147
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.24.0
- Pytorch 1.11.0+cu113
- Datasets 2.5.1
- Tokenizers 0.11.6


# Full config
{'dataset': {'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'],
             'is_split_by_sentences': True,
             'skip_tokens': 1649999872},
 'generation': {'every_n_steps': 32,
                'force_call_on': [25177],
                'metrics_configs': [{}, {'n': 1}, {'n': 2}, {'n': 5}],
                'scenario_configs': [{'generate_kwargs': {'do_sample': True,
                                                          'max_length': 128,
                                                          'min_length': 10,
                                                          'temperature': 0.7,
                                                          'top_k': 0,
                                                          'top_p': 0.9},
                                      'name': 'unconditional',
                                      'num_samples': 4096}],
                'scorer_config': {}},
 'kl_gpt3_callback': {'every_n_steps': 32,
                      'force_call_on': [25177],
                      'gpt3_kwargs': {'model_name': 'davinci'},
                      'max_tokens': 64,
                      'num_samples': 4096},
 'model': {'from_scratch': False,
           'gpt2_config_kwargs': {'reorder_and_upcast_attn': True,
                                  'scale_attn_by': True},
           'model_kwargs': {'revision': '9e6c78543a6ff1e4089002c38864d5a9cf71ec90',
                            'value_head_config': {'is_detached': False}},
           'path_or_name': 'tomekkorbak/nervous_wozniak'},
 'objective': {'alpha': 0.5, 'beta': 0.1, 'name': 'AWR'},
 'tokenizer': {'path_or_name': 'gpt2'},
 'training': {'dataloader_num_workers': 0,
              'effective_batch_size': 512,
              'evaluation_strategy': 'no',
              'fp16': True,
              'hub_model_id': 'jolly_saha',
              'hub_strategy': 'all_checkpoints',
              'learning_rate': 0.0001,
              'logging_first_step': True,
              'logging_steps': 1,
              'num_tokens': 3300000000,
              'output_dir': 'training_output2',
              'per_device_train_batch_size': 16,
              'push_to_hub': True,
              'remove_unused_columns': False,
              'save_steps': 3346,
              'save_strategy': 'steps',
              'seed': 42,
              'tokens_already_seen': 1649999872,
              'warmup_ratio': 0.01,
              'weight_decay': 0.1}}

# Wandb URL:
https://wandb.ai/tomekkorbak/apo/runs/3q8ux7mw