samvelkoch commited on
Commit
a50b40a
1 Parent(s): 31b3dfc

Upload cfg.yaml

Browse files
Files changed (1) hide show
  1. cfg.yaml +98 -0
cfg.yaml ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ architecture:
2
+ backbone_dtype: float32
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: 0.1
12
+ dataset:
13
+ add_eos_token_to_answer: false
14
+ add_eos_token_to_prompt: false
15
+ add_eos_token_to_system: false
16
+ add_prompt_answer_tokens: false
17
+ answer_column: score
18
+ chatbot_author: H2O.ai
19
+ chatbot_name: h2oGPT
20
+ data_sample: 1.0
21
+ data_sample_choice:
22
+ - Train
23
+ - Validation
24
+ limit_chained_samples: false
25
+ mask_prompt_labels: true
26
+ num_classes: 6
27
+ parent_id_column: None
28
+ personalize: false
29
+ prompt_column:
30
+ - full_text
31
+ system_column: None
32
+ text_answer_separator: ''
33
+ text_prompt_start: ''
34
+ text_system_start: ''
35
+ train_dataframe: /root/h2o-llmstudio/data/user/essay_train/essay_train.csv
36
+ validation_dataframe: None
37
+ validation_size: 0.01
38
+ validation_strategy: automatic
39
+ environment:
40
+ compile_model: false
41
+ deepspeed_allgather_bucket_size: 1000000
42
+ deepspeed_method: ZeRO2
43
+ deepspeed_reduce_bucket_size: 1000000
44
+ deepspeed_stage3_param_persistence_threshold: 1000000
45
+ deepspeed_stage3_prefetch_bucket_size: 1000000
46
+ find_unused_parameters: false
47
+ gpus:
48
+ - '0'
49
+ huggingface_branch: main
50
+ mixed_precision: true
51
+ mixed_precision_dtype: bfloat16
52
+ number_of_workers: 8
53
+ seed: -1
54
+ trust_remote_code: true
55
+ use_deepspeed: false
56
+ experiment_name: masked-10-mamba
57
+ llm_backbone: h2oai/h2ogpt-4096-llama2-7b
58
+ logging:
59
+ logger: Neptune
60
+ neptune_project: samvelkoch/essay
61
+ output_directory: /root/h2o-llmstudio/output/user/masked-10-mamba/
62
+ prediction:
63
+ batch_size_inference: 0
64
+ metric: Accuracy
65
+ problem_type: text_causal_classification_modeling
66
+ tokenizer:
67
+ add_prompt_answer_tokens: false
68
+ max_length: 10240
69
+ padding_quantile: 1.0
70
+ tokenizer_kwargs: '{"use_fast": true, "add_prefix_space": false}'
71
+ training:
72
+ batch_size: 2
73
+ differential_learning_rate: 1.0e-05
74
+ differential_learning_rate_layers:
75
+ - classification_head
76
+ drop_last_batch: true
77
+ epochs: 1
78
+ evaluate_before_training: false
79
+ evaluation_epochs: 1.0
80
+ freeze_layers: []
81
+ grad_accumulation: 1
82
+ gradient_clip: 0.0
83
+ learning_rate: 0.0001
84
+ lora: true
85
+ lora_alpha: 16
86
+ lora_dropout: 0.05
87
+ lora_r: 4
88
+ lora_target_modules: ''
89
+ lora_unfreeze_layers: []
90
+ loss_function: CrossEntropyLoss
91
+ optimizer: AdamW
92
+ save_checkpoint: last
93
+ schedule: Cosine
94
+ train_validation_data: false
95
+ use_dora: false
96
+ use_flash_attention_2: true
97
+ warmup_epochs: 0.0
98
+ weight_decay: 0.0