neshkatrapati commited on
Commit
bf004f5
1 Parent(s): 899853f

Upload cfg.yaml

Browse files
Files changed (1) hide show
  1. cfg.yaml +124 -0
cfg.yaml ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ architecture:
2
+ backbone_dtype: int4
3
+ gradient_checkpointing: true
4
+ intermediate_dropout: 0.0
5
+ pretrained: true
6
+ pretrained_weights: ''
7
+ augmentation:
8
+ neftune_noise_alpha: 0.0
9
+ random_parent_probability: 0.0
10
+ skip_parent_probability: 0.0
11
+ token_mask_probability: 0.0
12
+ dataset:
13
+ add_eos_token_to_answer: true
14
+ add_eos_token_to_prompt: true
15
+ add_eos_token_to_system: true
16
+ answer_column: output
17
+ chatbot_author: H2O.ai
18
+ chatbot_name: h2oGPT
19
+ data_sample: 1.0
20
+ data_sample_choice:
21
+ - Train
22
+ - Validation
23
+ id_column: None
24
+ limit_chained_samples: false
25
+ mask_prompt_labels: true
26
+ only_last_answer: false
27
+ parent_id_column: None
28
+ personalize: false
29
+ prompt_column:
30
+ - instruction
31
+ prompt_column_separator: \n\n
32
+ system_column: None
33
+ text_answer_separator: ''
34
+ text_prompt_start: ''
35
+ text_system_start: <|system|>
36
+ train_dataframe: /home/llmstudio/mount/data/user/openpii_english/1english_openpii_30k.csv
37
+ validation_dataframe: None
38
+ validation_size: 0.01
39
+ validation_strategy: automatic
40
+ environment:
41
+ compile_model: false
42
+ deepspeed_allgather_bucket_size: 1000000
43
+ deepspeed_method: ZeRO2
44
+ deepspeed_reduce_bucket_size: 1000000
45
+ deepspeed_stage3_param_persistence_threshold: 1000000
46
+ deepspeed_stage3_prefetch_bucket_size: 1000000
47
+ find_unused_parameters: false
48
+ gpus:
49
+ - '0'
50
+ - '1'
51
+ - '2'
52
+ - '3'
53
+ - '4'
54
+ - '5'
55
+ - '6'
56
+ - '7'
57
+ huggingface_branch: main
58
+ mixed_precision: true
59
+ mixed_precision_dtype: bfloat16
60
+ number_of_workers: 8
61
+ seed: -1
62
+ trust_remote_code: true
63
+ use_deepspeed: false
64
+ experiment_name: pii_mark_1.1.1.1
65
+ llm_backbone: unsloth/Llama-3.2-1B-Instruct
66
+ logging:
67
+ log_all_ranks: false
68
+ log_step_size: absolute
69
+ logger: None
70
+ neptune_project: ''
71
+ wandb_entity: ''
72
+ wandb_project: ''
73
+ output_directory: /home/llmstudio/mount/output/user/pii_mark_1.1.1.1/
74
+ prediction:
75
+ batch_size_inference: 0
76
+ do_sample: false
77
+ max_length_inference: 256
78
+ max_time: 0.0
79
+ metric: BLEU
80
+ metric_gpt_model: gpt-3.5-turbo-0301
81
+ metric_gpt_template: general
82
+ min_length_inference: 2
83
+ num_beams: 1
84
+ num_history: 4
85
+ repetition_penalty: 1.0
86
+ stop_tokens: ''
87
+ temperature: 0.0
88
+ top_k: 0
89
+ top_p: 1.0
90
+ problem_type: text_causal_language_modeling
91
+ tokenizer:
92
+ add_prompt_answer_tokens: false
93
+ max_length: 512
94
+ padding_quantile: 1.0
95
+ tokenizer_kwargs: '{"use_fast": true, "add_prefix_space": false}'
96
+ training:
97
+ attention_implementation: auto
98
+ batch_size: 6
99
+ differential_learning_rate: 1.0e-05
100
+ differential_learning_rate_layers: []
101
+ drop_last_batch: true
102
+ epochs: 1
103
+ evaluate_before_training: false
104
+ evaluation_epochs: 1.0
105
+ freeze_layers: []
106
+ grad_accumulation: 1
107
+ gradient_clip: 0.0
108
+ learning_rate: 0.0001
109
+ lora: true
110
+ lora_alpha: 16
111
+ lora_dropout: 0.05
112
+ lora_r: 4
113
+ lora_target_modules: ''
114
+ lora_unfreeze_layers: []
115
+ loss_function: TokenAveragedCrossEntropy
116
+ min_learning_rate_ratio: 0.0
117
+ optimizer: AdamW
118
+ save_checkpoint: last
119
+ schedule: Cosine
120
+ train_validation_data: false
121
+ use_dora: false
122
+ use_rslora: false
123
+ warmup_epochs: 0.0
124
+ weight_decay: 0.0