always_save_checkpoint: False
arg: --wandb_project=moe_gpt
attempt: moe_gpt
aux_loss_weight: 0.01
axial: False
backend: nccl
base_d_embd: 768
base_d_head: 64
base_d_model: 768
base_ffn_expansion: 1
base_n_head: -1
batch_size: 64
beta1: 0.9
beta2: 0.95
bias: False
block_size: 128
ckpt_path:
cola_flops: 277938176.0
cola_params: 12185508
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 512
data_dir: /storage/data
dataset: open
decay_lr: False
device: cuda
device_type: cuda
do_qk_ln: True
dropout: 0.0
dtype: bfloat16
emb_params: 114688
eval_interval: 2500
eval_iters: 200
eval_only: False
every_n_fwds: 200
expr:
ffn_expansion: 4
grad_clip: 1.0
gradient_accumulation_steps: 8
head_btt_case_proj: (n|d|n|d)
head_btt_case_qkv: (n|d|n|d)
head_params: 49152
init_lr: 0.003
input_lr_mult: 1.0
key: wandb_project
layers: all_but_last
lm_head_rank_frac: -1.0
lm_head_struct:
lm_head_tt_rank: -1
log_interval: 100
lr_decay_iters: 100000
max_iters: 100000
min_lr: 0.00030000000000000003
n_head: -1
n_layer: 3
neurons: 0
non_emb_flops: 271646720.0
non_emb_params: 12021668
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 16
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e16_k2_ffe1k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-000023
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_000023
total_tokens: 6017506009
tt_dim: 2
tt_rank: 1
use_head_btt: False
val: moe_gpt
vocab_size: 96
wandb_log: True
wandb_project: moe_gpt
wandb_run_name: btt_norm_moe_para_e16_k2_ffe1k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-000023
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2407 | P 3.425e+00 | Lt 1.2708 | Pt 3.529e+00 | H 3.1160 | ETA 3.42h
I 5000 | L 1.1738 | P 3.205e+00 | Lt 1.1933 | Pt 3.268e+00 | H 6.2180 | ETA 3.35h
I 7500 | L 1.1519 | P 3.136e+00 | Lt 1.1657 | Pt 3.179e+00 | H 8.3877 | ETA 3.26h
I 10000 | L 1.1333 | P 3.079e+00 | Lt 1.1525 | Pt 3.138e+00 | H 10.4449 | ETA 3.17h
I 12500 | L 1.1182 | P 3.033e+00 | Lt 1.1392 | Pt 3.097e+00 | H 12.5047 | ETA 3.08h
I 15000 | L 1.1068 | P 2.999e+00 | Lt 1.1286 | Pt 3.064e+00 | H 14.1906 | ETA 3.00h
I 17500 | L 1.1060 | P 2.997e+00 | Lt 1.1213 | Pt 3.042e+00 | H 15.9995 | ETA 2.91h
I 20000 | L 1.0966 | P 2.969e+00 | Lt 1.1158 | Pt 3.026e+00 | H 17.8369 | ETA 2.82h
I 22500 | L 1.0954 | P 2.965e+00 | Lt 1.1119 | Pt 3.014e+00 | H 19.1800 | ETA 2.73h
I 25000 | L 1.0868 | P 2.940e+00 | Lt 1.1094 | Pt 3.006e+00 | H 20.8179 | ETA 2.65h
I 27500 | L 1.0862 | P 2.938e+00 | Lt 1.1047 | Pt 2.993e+00 | H 22.7595 | ETA 2.56h
I 30000 | L 1.0830 | P 2.929e+00 | Lt 1.1035 | Pt 2.989e+00 | H 24.4702 | ETA 2.47h
I 32500 | L 1.0846 | P 2.933e+00 | Lt 1.0995 | Pt 2.977e+00 | H 25.9683 | ETA 2.38h
I 35000 | L 1.0744 | P 2.904e+00 | Lt 1.0954 | Pt 2.965e+00 | H 27.8122 | ETA 2.29h
I 37500 | L 1.0788 | P 2.917e+00 | Lt 1.0927 | Pt 2.957e+00 | H 29.8631 | ETA 2.20h
I 40000 | L 1.0750 | P 2.906e+00 | Lt 1.0903 | Pt 2.950e+00 | H 31.3371 | ETA 2.12h
I 42500 | L 1.0730 | P 2.900e+00 | Lt 1.0886 | Pt 2.945e+00 | H 32.8245 | ETA 2.03h
I 45000 | L 1.0717 | P 2.896e+00 | Lt 1.0878 | Pt 2.943e+00 | H 34.5039 | ETA 1.94h
I 47500 | L 1.0684 | P 2.887e+00 | Lt 1.0901 | Pt 2.950e+00 | H 37.0672 | ETA 1.85h
I 50000 | L 1.0674 | P 2.884e+00 | Lt 1.0876 | Pt 2.942e+00 | H 38.5915 | ETA 1.76h
I 52500 | L 1.0686 | P 2.887e+00 | Lt 1.0853 | Pt 2.935e+00 | H 40.2699 | ETA 1.68h
I 55000 | L 1.0661 | P 2.880e+00 | Lt 1.0817 | Pt 2.925e+00 | H 42.5937 | ETA 1.59h
I 57500 | L 1.0630 | P 2.871e+00 | Lt 1.0815 | Pt 2.925e+00 | H 44.4091 | ETA 1.50h
I 60000 | L 1.0628 | P 2.871e+00 | Lt 1.0802 | Pt 2.921e+00 | H 45.8639 | ETA 1.41h
I 62500 | L 1.0620 | P 2.868e+00 | Lt 1.0770 | Pt 2.912e+00 | H 48.5828 | ETA 1.32h
I 65000 | L 1.0596 | P 2.862e+00 | Lt 1.0762 | Pt 2.909e+00 | H 50.2637 | ETA 1.24h
I 67500 | L 1.0579 | P 2.857e+00 | Lt 1.0768 | Pt 2.911e+00 | H 52.3038 | ETA 1.15h
I 70000 | L 1.0594 | P 2.861e+00 | Lt 1.0760 | Pt 2.909e+00 | H 54.0942 | ETA 1.06h
I 72500 | L 1.0557 | P 2.851e+00 | Lt 1.0744 | Pt 2.904e+00 | H 56.1870 | ETA 0.97h
I 75000 | L 1.0550 | P 2.849e+00 | Lt 1.0773 | Pt 2.912e+00 | H 58.0173 | ETA 0.88h
I 77500 | L 1.0530 | P 2.843e+00 | Lt 1.0741 | Pt 2.903e+00 | H 60.4528 | ETA 0.79h
I 80000 | L 1.0531 | P 2.843e+00 | Lt 1.0727 | Pt 2.899e+00 | H 62.0718 | ETA 0.71h
I 82500 | L 1.0518 | P 2.840e+00 | Lt 1.0692 | Pt 2.889e+00 | H 64.5377 | ETA 0.62h
I 85000 | L 1.0567 | P 2.853e+00 | Lt 1.0719 | Pt 2.897e+00 | H 66.4441 | ETA 0.53h
I 87500 | L 1.0486 | P 2.831e+00 | Lt 1.0686 | Pt 2.887e+00 | H 68.3533 | ETA 0.44h
I 90000 | L 1.0511 | P 2.838e+00 | Lt 1.0719 | Pt 2.897e+00 | H 70.9005 | ETA 0.35h
I 92500 | L 1.0501 | P 2.835e+00 | Lt 1.0671 | Pt 2.883e+00 | H 73.7435 | ETA 0.26h
I 95000 | L 1.0513 | P 2.838e+00 | Lt 1.0634 | Pt 2.872e+00 | H 74.3659 | ETA 0.18h
I 97500 | L 1.0534 | P 2.844e+00 | Lt 1.0681 | Pt 2.886e+00 | H 77.3801 | ETA 0.09h
I 100000 | L 1.0534 | P 2.844e+00 | Lt 1.0686 | Pt 2.887e+00 | H 79.7607 | ETA 0.00h
I 100001 | L 1.0534 | P 2.844e+00 | Lt 1.0686 | Pt 2.887e+00
Finished training!
