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: 8
beta1: 0.9
beta2: 0.95
bias: False
block_size: 128
ckpt_path:
cola_flops: 3706978304.0
cola_params: 191195976
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 2048
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: 458752
eval_interval: 2500
eval_iters: 200
eval_only: False
every_n_fwds: 200
expr:
ffn_expansion: 4
grad_clip: 1.0
gradient_accumulation_steps: 64
head_btt_case_proj: (n|d|n|d)
head_btt_case_qkv: (n|d|n|d)
head_params: 196608
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: 6
neurons: 0
non_emb_flops: 3681812480.0
non_emb_params: 190540616
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_l6-dm2048-de-1-h-1-dh64-ttr1-014620
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-20_014620
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_l6-dm2048-de-1-h-1-dh64-ttr1-014620
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1874 | P 3.248e+00 | Lt 1.2024 | Pt 3.297e+00 | H 4.0916 | ETA 6.71h
I 5000 | L 1.1082 | P 3.003e+00 | Lt 1.1167 | Pt 3.028e+00 | H 9.8341 | ETA 6.65h
I 7500 | L 1.0700 | P 2.891e+00 | Lt 1.0828 | Pt 2.928e+00 | H 15.3415 | ETA 6.51h
I 10000 | L 1.0422 | P 2.813e+00 | Lt 1.0663 | Pt 2.881e+00 | H 21.2571 | ETA 6.35h
I 12500 | L 1.0303 | P 2.780e+00 | Lt 1.0450 | Pt 2.821e+00 | H 26.9646 | ETA 6.20h
I 15000 | L 1.0171 | P 2.744e+00 | Lt 1.0396 | Pt 2.805e+00 | H 32.3958 | ETA 6.04h
I 17500 | L 1.0095 | P 2.723e+00 | Lt 1.0283 | Pt 2.774e+00 | H 37.6989 | ETA 5.86h
I 20000 | L 1.0064 | P 2.715e+00 | Lt 1.0182 | Pt 2.746e+00 | H 43.9557 | ETA 5.68h
I 22500 | L 1.0052 | P 2.711e+00 | Lt 1.0105 | Pt 2.726e+00 | H 48.7563 | ETA 5.50h
I 25000 | L 1.0086 | P 2.720e+00 | Lt 1.0145 | Pt 2.736e+00 | H 54.3639 | ETA 5.33h
I 27500 | L 0.9951 | P 2.684e+00 | Lt 1.0073 | Pt 2.717e+00 | H 59.8905 | ETA 5.14h
I 30000 | L 0.9815 | P 2.648e+00 | Lt 1.0019 | Pt 2.702e+00 | H 65.9448 | ETA 4.96h
I 32500 | L 0.9863 | P 2.661e+00 | Lt 0.9942 | Pt 2.682e+00 | H 71.7090 | ETA 4.78h
I 35000 | L 0.9620 | P 2.598e+00 | Lt 0.9933 | Pt 2.679e+00 | H 77.7616 | ETA 4.59h
I 37500 | L 0.9711 | P 2.621e+00 | Lt 0.9899 | Pt 2.670e+00 | H 82.8118 | ETA 4.42h
I 40000 | L 0.9746 | P 2.630e+00 | Lt 0.9984 | Pt 2.693e+00 | H 89.2080 | ETA 4.23h
I 42500 | L 0.9703 | P 2.619e+00 | Lt 0.9754 | Pt 2.632e+00 | H 95.1287 | ETA 4.05h
I 45000 | L 0.9691 | P 2.616e+00 | Lt 0.9712 | Pt 2.621e+00 | H 101.4179 | ETA 3.87h
I 47500 | L 0.9692 | P 2.616e+00 | Lt 0.9800 | Pt 2.644e+00 | H 107.4651 | ETA 3.69h
I 50000 | L 0.9573 | P 2.585e+00 | Lt 0.9786 | Pt 2.641e+00 | H 112.9658 | ETA 3.51h
I 52500 | L 0.9589 | P 2.589e+00 | Lt 0.9723 | Pt 2.624e+00 | H 119.0942 | ETA 3.33h
I 55000 | L 0.9543 | P 2.578e+00 | Lt 0.9760 | Pt 2.634e+00 | H 125.2902 | ETA 3.15h
I 57500 | L 0.9574 | P 2.586e+00 | Lt 0.9679 | Pt 2.613e+00 | H 132.0844 | ETA 2.98h
I 60000 | L 0.9446 | P 2.553e+00 | Lt 0.9678 | Pt 2.613e+00 | H 136.3668 | ETA 2.80h
I 62500 | L 0.9632 | P 2.601e+00 | Lt 0.9540 | Pt 2.577e+00 | H 142.9515 | ETA 2.63h
I 65000 | L 0.9658 | P 2.607e+00 | Lt 0.9641 | Pt 2.603e+00 | H 149.1513 | ETA 2.45h
I 67500 | L 0.9576 | P 2.586e+00 | Lt 0.9584 | Pt 2.588e+00 | H 156.9169 | ETA 2.27h
I 70000 | L 0.9400 | P 2.541e+00 | Lt 0.9637 | Pt 2.602e+00 | H 162.1084 | ETA 2.10h
I 72500 | L 0.9448 | P 2.553e+00 | Lt 0.9517 | Pt 2.571e+00 | H 170.5554 | ETA 1.92h
I 75000 | L 0.9545 | P 2.578e+00 | Lt 0.9649 | Pt 2.605e+00 | H 176.3810 | ETA 1.75h
I 77500 | L 0.9500 | P 2.567e+00 | Lt 0.9543 | Pt 2.578e+00 | H 180.8091 | ETA 1.57h
I 80000 | L 0.9505 | P 2.568e+00 | Lt 0.9438 | Pt 2.551e+00 | H 190.4015 | ETA 1.40h
I 82500 | L 0.9486 | P 2.563e+00 | Lt 0.9450 | Pt 2.554e+00 | H 195.4841 | ETA 1.22h
I 85000 | L 0.9457 | P 2.556e+00 | Lt 0.9527 | Pt 2.573e+00 | H 205.5218 | ETA 1.05h
I 87500 | L 0.9453 | P 2.555e+00 | Lt 0.9461 | Pt 2.557e+00 | H 208.5968 | ETA 0.87h
I 90000 | L 0.9429 | P 2.549e+00 | Lt 0.9501 | Pt 2.567e+00 | H 215.0467 | ETA 0.70h
I 92500 | L 0.9405 | P 2.543e+00 | Lt 0.9565 | Pt 2.583e+00 | H 223.4736 | ETA 0.52h
I 95000 | L 0.9406 | P 2.543e+00 | Lt 0.9474 | Pt 2.560e+00 | H 231.9546 | ETA 0.35h
I 97500 | L 0.9417 | P 2.546e+00 | Lt 0.9529 | Pt 2.574e+00 | H 239.0805 | ETA 0.17h
I 100000 | L 0.9396 | P 2.540e+00 | Lt 0.9456 | Pt 2.555e+00 | H 245.5671 | ETA 0.00h
I 100001 | L 0.9396 | P 2.540e+00 | Lt 0.9456 | Pt 2.555e+00
Finished training!
