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: 4147970048
cola_params: 207838464
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: 6
neurons: 0
non_emb_flops: 4141678592
non_emb_params: 207674624
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 16
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe16k2_all_but_last_l6-dm512-de-1-h-1-dh64-ttr1-173259
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173259
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: dense_e0_k2_ffe16k2_all_but_last_l6-dm512-de-1-h-1-dh64-ttr1-173259
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1724 | P 3.201e+00 | Lt 1.1902 | Pt 3.258e+00 | H 39.4594 | ETA 6.52h
I 5000 | L 1.0964 | P 2.968e+00 | Lt 1.1136 | Pt 3.019e+00 | H 86.7546 | ETA 6.40h
I 7500 | L 1.0641 | P 2.874e+00 | Lt 1.0813 | Pt 2.924e+00 | H 120.6969 | ETA 6.27h
I 10000 | L 1.0446 | P 2.819e+00 | Lt 1.0645 | Pt 2.875e+00 | H 144.4301 | ETA 6.12h
I 12500 | L 1.0310 | P 2.781e+00 | Lt 1.0497 | Pt 2.834e+00 | H 168.9071 | ETA 6.02h
I 15000 | L 1.0210 | P 2.754e+00 | Lt 1.0330 | Pt 2.787e+00 | H 187.8481 | ETA 5.87h
I 17500 | L 1.0153 | P 2.738e+00 | Lt 1.0299 | Pt 2.779e+00 | H 210.1455 | ETA 5.72h
I 20000 | L 1.0055 | P 2.712e+00 | Lt 1.0203 | Pt 2.752e+00 | H 229.7723 | ETA 5.55h
I 22500 | L 0.9993 | P 2.695e+00 | Lt 1.0170 | Pt 2.743e+00 | H 249.0335 | ETA 5.38h
I 25000 | L 0.9972 | P 2.690e+00 | Lt 1.0077 | Pt 2.718e+00 | H 264.8025 | ETA 5.19h
I 27500 | L 0.9885 | P 2.667e+00 | Lt 1.0050 | Pt 2.711e+00 | H 288.0441 | ETA 5.01h
I 30000 | L 0.9862 | P 2.661e+00 | Lt 1.0034 | Pt 2.706e+00 | H 304.1233 | ETA 4.84h
I 32500 | L 0.9888 | P 2.667e+00 | Lt 0.9977 | Pt 2.691e+00 | H 325.6983 | ETA 4.66h
I 35000 | L 0.9806 | P 2.646e+00 | Lt 0.9947 | Pt 2.683e+00 | H 344.5769 | ETA 4.47h
I 37500 | L 0.9770 | P 2.636e+00 | Lt 0.9922 | Pt 2.677e+00 | H 358.8801 | ETA 4.29h
I 40000 | L 0.9734 | P 2.627e+00 | Lt 0.9889 | Pt 2.668e+00 | H 383.0360 | ETA 4.11h
I 42500 | L 0.9719 | P 2.623e+00 | Lt 0.9887 | Pt 2.667e+00 | H 396.2812 | ETA 3.95h
I 45000 | L 0.9745 | P 2.630e+00 | Lt 0.9837 | Pt 2.654e+00 | H 418.2546 | ETA 3.78h
I 47500 | L 0.9687 | P 2.615e+00 | Lt 0.9804 | Pt 2.645e+00 | H 440.9554 | ETA 3.60h
I 50000 | L 0.9686 | P 2.614e+00 | Lt 0.9765 | Pt 2.635e+00 | H 460.5505 | ETA 3.44h
I 52500 | L 0.9626 | P 2.599e+00 | Lt 0.9728 | Pt 2.626e+00 | H 474.7431 | ETA 3.27h
I 55000 | L 0.9638 | P 2.602e+00 | Lt 0.9762 | Pt 2.634e+00 | H 497.7545 | ETA 3.10h
I 57500 | L 0.9634 | P 2.601e+00 | Lt 0.9741 | Pt 2.629e+00 | H 515.2485 | ETA 2.92h
I 60000 | L 0.9603 | P 2.593e+00 | Lt 0.9739 | Pt 2.628e+00 | H 533.3726 | ETA 2.74h
I 62500 | L 0.9571 | P 2.585e+00 | Lt 0.9755 | Pt 2.632e+00 | H 551.4998 | ETA 2.57h
I 65000 | L 0.9569 | P 2.584e+00 | Lt 0.9677 | Pt 2.612e+00 | H 568.4083 | ETA 2.39h
I 67500 | L 0.9525 | P 2.573e+00 | Lt 0.9690 | Pt 2.616e+00 | H 598.9112 | ETA 2.22h
I 70000 | L 0.9510 | P 2.569e+00 | Lt 0.9677 | Pt 2.612e+00 | H 612.4448 | ETA 2.05h
I 72500 | L 0.9545 | P 2.578e+00 | Lt 0.9649 | Pt 2.605e+00 | H 634.3423 | ETA 1.88h
I 75000 | L 0.9568 | P 2.584e+00 | Lt 0.9637 | Pt 2.602e+00 | H 655.6211 | ETA 1.71h
I 77500 | L 0.9511 | P 2.569e+00 | Lt 0.9594 | Pt 2.591e+00 | H 679.1225 | ETA 1.54h
I 80000 | L 0.9506 | P 2.568e+00 | Lt 0.9623 | Pt 2.598e+00 | H 691.5804 | ETA 1.36h
I 82500 | L 0.9486 | P 2.563e+00 | Lt 0.9590 | Pt 2.590e+00 | H 712.9157 | ETA 1.19h
I 85000 | L 0.9500 | P 2.567e+00 | Lt 0.9574 | Pt 2.586e+00 | H 741.9016 | ETA 1.02h
I 87500 | L 0.9493 | P 2.565e+00 | Lt 0.9591 | Pt 2.590e+00 | H 752.3648 | ETA 0.85h
I 90000 | L 0.9447 | P 2.553e+00 | Lt 0.9585 | Pt 2.588e+00 | H 778.0059 | ETA 0.68h
I 92500 | L 0.9450 | P 2.554e+00 | Lt 0.9561 | Pt 2.582e+00 | H 791.1193 | ETA 0.51h
I 95000 | L 0.9455 | P 2.555e+00 | Lt 0.9539 | Pt 2.577e+00 | H 814.8296 | ETA 0.34h
I 97500 | L 0.9454 | P 2.555e+00 | Lt 0.9535 | Pt 2.576e+00 | H 840.3589 | ETA 0.17h
I 100000 | L 0.9468 | P 2.559e+00 | Lt 0.9515 | Pt 2.571e+00 | H 866.2364 | ETA 0.00h
I 100001 | L 0.9468 | P 2.559e+00 | Lt 0.9515 | Pt 2.571e+00
Finished training!
