jfarland commited on
Commit
88215d0
1 Parent(s): 00659ce

Upload cfg.yaml

Browse files
Files changed (1) hide show
  1. cfg.yaml +99 -0
cfg.yaml ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ architecture:
2
+ backbone_dtype: int4
3
+ force_embedding_gradients: false
4
+ gradient_checkpointing: true
5
+ intermediate_dropout: 0.0
6
+ pretrained: true
7
+ pretrained_weights: ''
8
+ augmentation:
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: content
17
+ chatbot_author: H2O.ai
18
+ chatbot_name: h2oGPT
19
+ data_sample: 1.0
20
+ data_sample_choice:
21
+ - Train
22
+ - Validation
23
+ limit_chained_samples: false
24
+ mask_prompt_labels: true
25
+ parent_id_column: None
26
+ personalize: false
27
+ prompt_column:
28
+ - instruction
29
+ system_column: None
30
+ text_answer_separator: <|answer|>
31
+ text_prompt_start: <|prompt|>
32
+ text_system_start: <|system|>
33
+ train_dataframe: /home/fsuser/projects/h2o-llmstudio/data/user/influencers_data_formated.1/influencers_data_formated.csv
34
+ validation_dataframe: None
35
+ validation_size: 0.01
36
+ validation_strategy: automatic
37
+ environment:
38
+ compile_model: false
39
+ find_unused_parameters: false
40
+ gpus:
41
+ - '0'
42
+ huggingface_branch: main
43
+ mixed_precision: true
44
+ number_of_workers: 8
45
+ seed: -1
46
+ trust_remote_code: true
47
+ use_fsdp: false
48
+ experiment_name: delightful-quokka
49
+ llm_backbone: h2oai/h2ogpt-4096-llama2-7b
50
+ logging:
51
+ logger: None
52
+ neptune_project: ''
53
+ output_directory: /home/fsuser/projects/h2o-llmstudio/output/user/delightful-quokka/
54
+ prediction:
55
+ batch_size_inference: 0
56
+ do_sample: false
57
+ max_length_inference: 256
58
+ metric: BLEU
59
+ metric_gpt_model: gpt-3.5-turbo-0301
60
+ min_length_inference: 2
61
+ num_beams: 1
62
+ num_history: 4
63
+ repetition_penalty: 1.2
64
+ stop_tokens: ''
65
+ temperature: 0.3
66
+ top_k: 0
67
+ top_p: 1.0
68
+ problem_type: text_causal_language_modeling
69
+ tokenizer:
70
+ add_prefix_space: false
71
+ add_prompt_answer_tokens: false
72
+ max_length: 4032
73
+ max_length_answer: 2016
74
+ max_length_prompt: 2016
75
+ padding_quantile: 1.0
76
+ use_fast: true
77
+ training:
78
+ batch_size: 2
79
+ differential_learning_rate: 1.0e-05
80
+ differential_learning_rate_layers: []
81
+ drop_last_batch: true
82
+ epochs: 1
83
+ evaluate_before_training: false
84
+ evaluation_epochs: 1.0
85
+ grad_accumulation: 1
86
+ gradient_clip: 0.0
87
+ learning_rate: 0.0001
88
+ lora: true
89
+ lora_alpha: 16
90
+ lora_dropout: 0.05
91
+ lora_r: 4
92
+ lora_target_modules: ''
93
+ loss_function: TokenAveragedCrossEntropy
94
+ optimizer: AdamW
95
+ save_best_checkpoint: false
96
+ schedule: Cosine
97
+ train_validation_data: false
98
+ warmup_epochs: 0.0
99
+ weight_decay: 0.0