Create hydra_cfg.yaml
Browse files- hydra_cfg.yaml +243 -0
hydra_cfg.yaml
ADDED
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| 1 |
+
# @package _global_
|
| 2 |
+
seed: 0
|
| 3 |
+
mode: Stage1
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| 4 |
+
alias: GeneZip-7R_12.8K-100B
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| 5 |
+
data_alias: ${.data}_${max_len}
|
| 6 |
+
model_alias: ${oc.select:model.name,UnknownModel}
|
| 7 |
+
uid: ofagcfej
|
| 8 |
+
project_root: ${hydra:runtime.cwd}
|
| 9 |
+
version: NA
|
| 10 |
+
device: cuda
|
| 11 |
+
use_routing_floor: true
|
| 12 |
+
cluster: mila
|
| 13 |
+
dirs:
|
| 14 |
+
data_cache: ${project_root}/data_cache/
|
| 15 |
+
data_storage: ${project_root}/data/
|
| 16 |
+
temp: ${project_root}/temp/working_dir/${uid}/
|
| 17 |
+
output: ${project_root}/output/${data_alias}/${alias}/
|
| 18 |
+
hydra: ${project_root}/temp/hydra/
|
| 19 |
+
wandb_cache: ${oc.env:WANDB_CACHE_DIR,${project_root}/temp/wandb_cache/}
|
| 20 |
+
use_wandb: true
|
| 21 |
+
wandb:
|
| 22 |
+
name: GeneZip-7R_12.8K-100B
|
| 23 |
+
project: ${oc.select:env.vars.wandb_proj,DNAFM}
|
| 24 |
+
entity: ${oc.select:env.vars.wandb_entity,${oc.env:WANDB_ENTITY,null}}
|
| 25 |
+
tags:
|
| 26 |
+
- ${mode}
|
| 27 |
+
dir: ${dirs.wandb_cache}
|
| 28 |
+
mode: online
|
| 29 |
+
id: ofagcfej
|
| 30 |
+
step_metric: null
|
| 31 |
+
url: https://wandb.ai/liuxxiiiii/DNAFM/runs/ofagcfej
|
| 32 |
+
logging:
|
| 33 |
+
level: info
|
| 34 |
+
log_wandb_metric_to_stdout: true
|
| 35 |
+
max_data_samples: null
|
| 36 |
+
data: gencode_human_12.8k
|
| 37 |
+
dataset: ${_dataset_cfg_lookup[${data}]}
|
| 38 |
+
max_len: 12800
|
| 39 |
+
source: ${dataset.type}
|
| 40 |
+
max_length: ${max_len}
|
| 41 |
+
valid_test_downsample: null
|
| 42 |
+
tokenizer: fast
|
| 43 |
+
RC_augmentation: false
|
| 44 |
+
reference_loss: null
|
| 45 |
+
hf_token: ${oc.env:HUGGINGFACE_HUB_TOKEN,null}
|
| 46 |
+
_dataset_cfg_lookup:
|
| 47 |
+
hg38_cds_4m:
|
| 48 |
+
type: refseq
|
| 49 |
+
path: data/hg38_cds_dataset_4m_filtered
|
| 50 |
+
hf_path: null
|
| 51 |
+
hg38_12k:
|
| 52 |
+
type: refseq
|
| 53 |
+
path: data/hg38_cds_anchored_len12800_mincds150_1000000samples
|
| 54 |
+
hf_path: jzshared/hg38_12800
|
| 55 |
+
hg38_128k:
|
| 56 |
+
type: refseq
|
| 57 |
+
path: data/hg38_cds_anchored_128000
|
| 58 |
+
hf_path: jzshared/hg38_cds_anchored_128000
|
| 59 |
+
gencode128k_debug:
|
| 60 |
+
type: refseq
|
| 61 |
+
path: data/gencode128k_debug
|
| 62 |
+
hf_path: jzshared/gencode128k_debug
|
| 63 |
+
gencode_human_12.8k:
|
| 64 |
+
type: refseq
|
| 65 |
+
path: data/gencode_human_12.8k
|
| 66 |
+
hf_path: jzshared/gencode_human_12.8k
|
| 67 |
+
gencode_human_128k:
|
| 68 |
+
type: refseq
|
| 69 |
+
path: data/gencode_human_128k
|
| 70 |
+
hf_path: jzshared/gencode_human_128k
|
| 71 |
+
gencode128k_basic:
|
| 72 |
+
type: refseq
|
| 73 |
+
path: data/gencode128k_basic
|
| 74 |
+
hf_path: jzshared/gencode128k_basic
|
| 75 |
+
hf_repo: jzshared/GeneZip-7R_12.8K-100B
|
| 76 |
+
hf_repo_owner: jzshared
|
| 77 |
+
upload_to_hf: true
|
| 78 |
+
private: false
|
| 79 |
+
name: hnet_base
|
| 80 |
+
training_alias: ${mode}_glm_s1_${region_info}_bp${bp_per_token}_aw${warmup_steps}_amax${alpha_max}_smax${strictness_max}_lr${lr}_e${epochs}_ms${max_train_steps}_maxlen${max_len}
|
| 81 |
+
lr: 4.068919838510263e-08
|
| 82 |
+
grad_acc_steps: 1
|
| 83 |
+
eval_steps: 500
|
| 84 |
+
save_steps: 1000
|
| 85 |
+
epochs: 200
|
| 86 |
+
max_train_steps: 30600
|
| 87 |
+
max_eval_samples: 1000
|
| 88 |
+
batch_size: 32
|
| 89 |
+
eval_batch_size: ${batch_size}
|
| 90 |
+
training:
|
| 91 |
+
learning_rate: ${lr}
|
| 92 |
+
do_train: true
|
| 93 |
+
group_by_length: false
|
| 94 |
+
remove_unused_columns: false
|
| 95 |
+
label_names:
|
| 96 |
+
- input_ids
|
| 97 |
+
disable_tqdm: false
|
| 98 |
+
num_train_epochs: ${epochs}
|
| 99 |
+
max_train_steps: ${max_train_steps}
|
| 100 |
+
eval_strategy: steps
|
| 101 |
+
eval_steps: ${eval_steps}
|
| 102 |
+
save_strategy: steps
|
| 103 |
+
save_steps: ${save_steps}
|
| 104 |
+
logging_steps: 10
|
| 105 |
+
report_to: null
|
| 106 |
+
per_device_train_batch_size: ${batch_size}
|
| 107 |
+
per_device_eval_batch_size: ${eval_batch_size}
|
| 108 |
+
gradient_accumulation_steps: ${grad_acc_steps}
|
| 109 |
+
dataloader_num_workers: 1
|
| 110 |
+
dataloader_drop_last: true
|
| 111 |
+
gradient_checkpointing: false
|
| 112 |
+
max_grad_norm: 2.0
|
| 113 |
+
weight_decay: 0.1
|
| 114 |
+
use_lr_multiplier: true
|
| 115 |
+
lr_scheduler_type: linear
|
| 116 |
+
warmup_steps: 500
|
| 117 |
+
adam_beta1: 0.9
|
| 118 |
+
adam_beta2: 0.95
|
| 119 |
+
bf16: true
|
| 120 |
+
overrides: {}
|
| 121 |
+
output_dir: ${dirs.output}
|
| 122 |
+
region_info: promoter1_cds2_utr4_exon4_intron16_nig8_dig32
|
| 123 |
+
bp_per_token: 128
|
| 124 |
+
warmup_steps: 0
|
| 125 |
+
alpha_max: 0.03
|
| 126 |
+
alpha_exp: 1.0
|
| 127 |
+
strictness_max: 1.0
|
| 128 |
+
strictness_exp: 1.0
|
| 129 |
+
arch: hnet
|
| 130 |
+
config_path: null
|
| 131 |
+
model:
|
| 132 |
+
name: hnet_mamba_64m_2dc
|
| 133 |
+
arch: hnet
|
| 134 |
+
r_hi: 0.3
|
| 135 |
+
r_low: 0.0
|
| 136 |
+
min_routing_tokens: 8
|
| 137 |
+
r_warm_up_start: 200
|
| 138 |
+
r_warm_up_end: 750
|
| 139 |
+
model_cfg:
|
| 140 |
+
arch_layout:
|
| 141 |
+
- m2
|
| 142 |
+
- - m2
|
| 143 |
+
- - m15
|
| 144 |
+
- m2
|
| 145 |
+
- m2
|
| 146 |
+
n_gpt: 1.0
|
| 147 |
+
d_model:
|
| 148 |
+
- 512
|
| 149 |
+
- 512
|
| 150 |
+
- 768
|
| 151 |
+
d_intermediate:
|
| 152 |
+
- 0
|
| 153 |
+
- 0
|
| 154 |
+
- 2048
|
| 155 |
+
vocab_size: 12
|
| 156 |
+
ssm_cfg:
|
| 157 |
+
chunk_size: 256
|
| 158 |
+
head_dim: 64
|
| 159 |
+
d_conv: 4
|
| 160 |
+
d_state: 64
|
| 161 |
+
expand: 2
|
| 162 |
+
attn_cfg:
|
| 163 |
+
num_heads:
|
| 164 |
+
- 8
|
| 165 |
+
- 8
|
| 166 |
+
- 12
|
| 167 |
+
rotary_emb_dim:
|
| 168 |
+
- 16
|
| 169 |
+
- 16
|
| 170 |
+
- 24
|
| 171 |
+
window_size:
|
| 172 |
+
- 511
|
| 173 |
+
- 511
|
| 174 |
+
- -1
|
| 175 |
+
tie_embeddings: true
|
| 176 |
+
r_hi: ${r_hi}
|
| 177 |
+
r_low: ${r_low}
|
| 178 |
+
min_routing_tokens: ${min_routing_tokens}
|
| 179 |
+
r_warm_up_start: ${r_warm_up_start}
|
| 180 |
+
r_warm_up_end: ${r_warm_up_end}
|
| 181 |
+
rank: 0
|
| 182 |
+
local_rank: 0
|
| 183 |
+
world_size: 8
|
| 184 |
+
is_distributed: true
|
| 185 |
+
device_type: GPU
|
| 186 |
+
cmd: python src/scripts/train_genezip_v1.py exp=glm/stage1 data=gencode_human_12.8k
|
| 187 |
+
model=hnet/mamba_64m_2dc max_len=12800 batch_size=32 grad_acc_steps=1 max_train_steps=30600
|
| 188 |
+
eval_steps=500 bp_per_token=128 region_info=promoter1_cds2_utr4_exon4_intron16_nig8_dig32
|
| 189 |
+
alias=GeneZip-7R_12.8K-100B use_wandb=true upload_to_hf=true hf_repo=jzshared/GeneZip-7R_12.8K-100B
|
| 190 |
+
master_port: '40617'
|
| 191 |
+
summary:
|
| 192 |
+
model_size: 69.8M
|
| 193 |
+
max_gpu_mem: 55.857
|
| 194 |
+
model_size: 69.8M
|
| 195 |
+
max_gpu_mem: 55.857
|
| 196 |
+
loss: 1.0907
|
| 197 |
+
grad_norm: 0.03689846768975258
|
| 198 |
+
loss_ce: 1.0496642589569092
|
| 199 |
+
router_selected_tokens_s0: 460.53125
|
| 200 |
+
router_trigger_rate_s0: 0.0
|
| 201 |
+
router_avg_deficit_s0: 0.0
|
| 202 |
+
router_selected_tokens_s1: 17.875
|
| 203 |
+
router_trigger_rate_s1: 0.03125
|
| 204 |
+
router_avg_deficit_s1: 1.0
|
| 205 |
+
loss_region: 0.060342203825712204
|
| 206 |
+
comp_strictness: 1.0
|
| 207 |
+
comp_rl_weight: 0.03
|
| 208 |
+
loss_total: 1.1100064516067505
|
| 209 |
+
tokens_trained: 100.260990464
|
| 210 |
+
epoch: 8.680851063829786
|
| 211 |
+
step: 30600
|
| 212 |
+
eval_runtime: 0.5367
|
| 213 |
+
eval_ppl: 2.8175418770540306
|
| 214 |
+
eval_bp_per_token_promoter: 261.42059336823735
|
| 215 |
+
eval_bp_per_token_cds: 332.3425925925926
|
| 216 |
+
eval_bp_per_token_utr: 752.6538461538462
|
| 217 |
+
eval_bp_per_token_exon: 690.0
|
| 218 |
+
eval_bp_per_token_intron: 1128.3223388305846
|
| 219 |
+
eval_bp_per_token_nig: 1050.814049586777
|
| 220 |
+
eval_ppl_promoter: 3.124982450778065
|
| 221 |
+
eval_ppl_cds: 3.7295588949788616
|
| 222 |
+
eval_ppl_utr: 3.440777494381466
|
| 223 |
+
eval_ppl_exon: 3.106529824327725
|
| 224 |
+
eval_ppl_intron: 2.9497514633424493
|
| 225 |
+
eval_ppl_nig: 2.570548504715622
|
| 226 |
+
eval_F: 0.0013347396932051983
|
| 227 |
+
eval_G: 0.004359940369588607
|
| 228 |
+
eval_avg_bp_per_token: 749.209756097561
|
| 229 |
+
eval_F_promoter: 0.003825253347931159
|
| 230 |
+
eval_G_promoter: 0.009358177417820473
|
| 231 |
+
eval_F_cds: 0.0030089432479870728
|
| 232 |
+
eval_G_cds: 0.007192112232886635
|
| 233 |
+
eval_F_utr: 0.0013286320200316829
|
| 234 |
+
eval_G_utr: 0.004329032845316572
|
| 235 |
+
eval_F_exon: 0.0014492753623188406
|
| 236 |
+
eval_G_exon: 0.004401843674516908
|
| 237 |
+
eval_F_intron: 0.0008862715605156054
|
| 238 |
+
eval_G_intron: 0.0035734517902154027
|
| 239 |
+
eval_F_nig: 0.0009516431574104296
|
| 240 |
+
eval_G_nig: 0.003343231843572673
|
| 241 |
+
train_runtime: 10669.8105
|
| 242 |
+
total_flos: 0.0
|
| 243 |
+
train_loss: 1.2369615290523355
|