File size: 9,541 Bytes
31cc1aa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
052f735
 
31cc1aa
 
 
052f735
31cc1aa
 
 
052f735
 
 
 
 
 
31cc1aa
 
 
052f735
31cc1aa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- tomekkorbak/detoxify-pile-chunk3-0-50000
- tomekkorbak/detoxify-pile-chunk3-50000-100000
- tomekkorbak/detoxify-pile-chunk3-100000-150000
- tomekkorbak/detoxify-pile-chunk3-150000-200000
- tomekkorbak/detoxify-pile-chunk3-200000-250000
- tomekkorbak/detoxify-pile-chunk3-250000-300000
- tomekkorbak/detoxify-pile-chunk3-300000-350000
- tomekkorbak/detoxify-pile-chunk3-350000-400000
- tomekkorbak/detoxify-pile-chunk3-400000-450000
- tomekkorbak/detoxify-pile-chunk3-450000-500000
- tomekkorbak/detoxify-pile-chunk3-500000-550000
- tomekkorbak/detoxify-pile-chunk3-550000-600000
- tomekkorbak/detoxify-pile-chunk3-600000-650000
- tomekkorbak/detoxify-pile-chunk3-650000-700000
- tomekkorbak/detoxify-pile-chunk3-700000-750000
- tomekkorbak/detoxify-pile-chunk3-750000-800000
- tomekkorbak/detoxify-pile-chunk3-800000-850000
- tomekkorbak/detoxify-pile-chunk3-850000-900000
- tomekkorbak/detoxify-pile-chunk3-900000-950000
- tomekkorbak/detoxify-pile-chunk3-950000-1000000
- tomekkorbak/detoxify-pile-chunk3-1000000-1050000
- tomekkorbak/detoxify-pile-chunk3-1050000-1100000
- tomekkorbak/detoxify-pile-chunk3-1100000-1150000
- tomekkorbak/detoxify-pile-chunk3-1150000-1200000
- tomekkorbak/detoxify-pile-chunk3-1200000-1250000
- tomekkorbak/detoxify-pile-chunk3-1250000-1300000
- tomekkorbak/detoxify-pile-chunk3-1300000-1350000
- tomekkorbak/detoxify-pile-chunk3-1350000-1400000
- tomekkorbak/detoxify-pile-chunk3-1400000-1450000
- tomekkorbak/detoxify-pile-chunk3-1450000-1500000
- tomekkorbak/detoxify-pile-chunk3-1500000-1550000
- tomekkorbak/detoxify-pile-chunk3-1550000-1600000
- tomekkorbak/detoxify-pile-chunk3-1600000-1650000
- tomekkorbak/detoxify-pile-chunk3-1650000-1700000
- tomekkorbak/detoxify-pile-chunk3-1700000-1750000
- tomekkorbak/detoxify-pile-chunk3-1750000-1800000
- tomekkorbak/detoxify-pile-chunk3-1800000-1850000
- tomekkorbak/detoxify-pile-chunk3-1850000-1900000
- tomekkorbak/detoxify-pile-chunk3-1900000-1950000
model-index:
- name: goofy_pasteur
  results: []
---

# goofy_pasteur

- **Repository: https://github.com/tomekkorbak/aligned-pretraining-objectives** 
- **Paper: Arxiv link to be added**

## Model description

This model was trained using [pile-detoxify](https://huggingface.co/datasets/tomekkorbak/pile-detoxify), which is data from [The Pile](https://huggingface.co/datasets/the_pile), annotated based on toxicity detected by [Detoxify](https://github.com/unitaryai/detoxify).

## Intended uses & limitations

This model has been trained to generate text that receives a low score for toxicity from [Detoxify](https://github.com/unitaryai/detoxify).

While we have promising results with the methods used to avoid toxic text, we cannot guarantee that it will output text that is fully aligned with non-toxicity in every situation.
This model and its associated datasets are intended for research purposes only and should not be deployed anywhere.

Please take care to avoid misusing the datasets used to train this model (where toxicity and personal identifiable information are annotated) or putting anybody in danger by publicizing their information.

## Training and evaluation data

This model was trained using [pile-detoxify](https://huggingface.co/datasets/tomekkorbak/pile-detoxify).

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 50354
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.5.1
- Tokenizers 0.11.6


# Full config
{'dataset': {'datasets': ['tomekkorbak/detoxify-pile-chunk3-0-50000',
                          'tomekkorbak/detoxify-pile-chunk3-50000-100000',
                          'tomekkorbak/detoxify-pile-chunk3-100000-150000',
                          'tomekkorbak/detoxify-pile-chunk3-150000-200000',
                          'tomekkorbak/detoxify-pile-chunk3-200000-250000',
                          'tomekkorbak/detoxify-pile-chunk3-250000-300000',
                          'tomekkorbak/detoxify-pile-chunk3-300000-350000',
                          'tomekkorbak/detoxify-pile-chunk3-350000-400000',
                          'tomekkorbak/detoxify-pile-chunk3-400000-450000',
                          'tomekkorbak/detoxify-pile-chunk3-450000-500000',
                          'tomekkorbak/detoxify-pile-chunk3-500000-550000',
                          'tomekkorbak/detoxify-pile-chunk3-550000-600000',
                          'tomekkorbak/detoxify-pile-chunk3-600000-650000',
                          'tomekkorbak/detoxify-pile-chunk3-650000-700000',
                          'tomekkorbak/detoxify-pile-chunk3-700000-750000',
                          'tomekkorbak/detoxify-pile-chunk3-750000-800000',
                          'tomekkorbak/detoxify-pile-chunk3-800000-850000',
                          'tomekkorbak/detoxify-pile-chunk3-850000-900000',
                          'tomekkorbak/detoxify-pile-chunk3-900000-950000',
                          'tomekkorbak/detoxify-pile-chunk3-950000-1000000',
                          'tomekkorbak/detoxify-pile-chunk3-1000000-1050000',
                          'tomekkorbak/detoxify-pile-chunk3-1050000-1100000',
                          'tomekkorbak/detoxify-pile-chunk3-1100000-1150000',
                          'tomekkorbak/detoxify-pile-chunk3-1150000-1200000',
                          'tomekkorbak/detoxify-pile-chunk3-1200000-1250000',
                          'tomekkorbak/detoxify-pile-chunk3-1250000-1300000',
                          'tomekkorbak/detoxify-pile-chunk3-1300000-1350000',
                          'tomekkorbak/detoxify-pile-chunk3-1350000-1400000',
                          'tomekkorbak/detoxify-pile-chunk3-1400000-1450000',
                          'tomekkorbak/detoxify-pile-chunk3-1450000-1500000',
                          'tomekkorbak/detoxify-pile-chunk3-1500000-1550000',
                          'tomekkorbak/detoxify-pile-chunk3-1550000-1600000',
                          'tomekkorbak/detoxify-pile-chunk3-1600000-1650000',
                          'tomekkorbak/detoxify-pile-chunk3-1650000-1700000',
                          'tomekkorbak/detoxify-pile-chunk3-1700000-1750000',
                          'tomekkorbak/detoxify-pile-chunk3-1750000-1800000',
                          'tomekkorbak/detoxify-pile-chunk3-1800000-1850000',
                          'tomekkorbak/detoxify-pile-chunk3-1850000-1900000',
                          'tomekkorbak/detoxify-pile-chunk3-1900000-1950000'],
             'is_split_by_sentences': True},
 'generation': {'force_call_on': [25354],
                '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': 2048},
                                     {'generate_kwargs': {'do_sample': True,
                                                          'max_length': 128,
                                                          'min_length': 10,
                                                          'temperature': 0.7,
                                                          'top_k': 0,
                                                          'top_p': 0.9},
                                      'name': 'challenging_rtp',
                                      'num_samples': 2048,
                                      'prompts_path': 'resources/challenging_rtp.jsonl'}],
                'scorer_config': {'device': 'cuda:0'}},
 'kl_gpt3_callback': {'force_call_on': [25354],
                      'max_tokens': 64,
                      'num_samples': 4096},
 'model': {'from_scratch': True,
           'gpt2_config_kwargs': {'reorder_and_upcast_attn': True,
                                  'scale_attn_by': True},
           'path_or_name': 'gpt2'},
 'objective': {'name': 'MLE'},
 'tokenizer': {'path_or_name': 'gpt2'},
 'training': {'dataloader_num_workers': 0,
              'effective_batch_size': 64,
              'evaluation_strategy': 'no',
              'fp16': True,
              'hub_model_id': 'goofy_pasteur',
              'hub_strategy': 'all_checkpoints',
              'learning_rate': 0.0005,
              'logging_first_step': True,
              'logging_steps': 1,
              'num_tokens': 3300000000,
              'output_dir': 'training_output104340',
              'per_device_train_batch_size': 16,
              'push_to_hub': True,
              'remove_unused_columns': False,
              'save_steps': 25354,
              'save_strategy': 'steps',
              'seed': 42,
              'warmup_ratio': 0.01,
              'weight_decay': 0.1}}

# Wandb URL:
https://wandb.ai/tomekkorbak/apo/runs/20d87pk8