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: 1781792768.0
cola_params: 24484260
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: 8
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: 3
neurons: 0
non_emb_flops: 1756626944.0
non_emb_params: 23828900
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 4
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e4_k2_ffe1k2_all_but_last_l3-dm2048-de-1-h-1-dh64-ttr1-001428
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_001428
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_e4_k2_ffe1k2_all_but_last_l3-dm2048-de-1-h-1-dh64-ttr1-001428
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2236 | P 3.367e+00 | Lt 1.2461 | Pt 3.443e+00 | H 5.0543 | ETA 5.05h
I 5000 | L 1.1504 | P 3.131e+00 | Lt 1.1656 | Pt 3.179e+00 | H 10.7824 | ETA 4.92h
I 7500 | L 1.1230 | P 3.048e+00 | Lt 1.1362 | Pt 3.087e+00 | H 15.0985 | ETA 4.81h
I 10000 | L 1.0968 | P 2.969e+00 | Lt 1.1194 | Pt 3.036e+00 | H 19.1085 | ETA 4.68h
I 12500 | L 1.0899 | P 2.949e+00 | Lt 1.1096 | Pt 3.007e+00 | H 23.9236 | ETA 4.55h
I 15000 | L 1.0780 | P 2.914e+00 | Lt 1.0982 | Pt 2.973e+00 | H 28.2821 | ETA 4.42h
I 17500 | L 1.0720 | P 2.897e+00 | Lt 1.0918 | Pt 2.954e+00 | H 33.1106 | ETA 4.29h
I 20000 | L 1.0664 | P 2.881e+00 | Lt 1.0849 | Pt 2.934e+00 | H 37.2914 | ETA 4.16h
I 22500 | L 1.0596 | P 2.862e+00 | Lt 1.0803 | Pt 2.921e+00 | H 42.3611 | ETA 4.03h
I 25000 | L 1.0589 | P 2.860e+00 | Lt 1.0705 | Pt 2.893e+00 | H 46.6660 | ETA 3.90h
I 27500 | L 1.0534 | P 2.844e+00 | Lt 1.0689 | Pt 2.888e+00 | H 50.9847 | ETA 3.77h
I 30000 | L 1.0537 | P 2.845e+00 | Lt 1.0652 | Pt 2.878e+00 | H 55.0352 | ETA 3.64h
I 32500 | L 1.0488 | P 2.831e+00 | Lt 1.0647 | Pt 2.876e+00 | H 60.0817 | ETA 3.51h
I 35000 | L 1.0445 | P 2.819e+00 | Lt 1.0639 | Pt 2.874e+00 | H 65.4254 | ETA 3.38h
I 37500 | L 1.0407 | P 2.809e+00 | Lt 1.0571 | Pt 2.854e+00 | H 69.5065 | ETA 3.25h
I 40000 | L 1.0390 | P 2.804e+00 | Lt 1.0566 | Pt 2.853e+00 | H 74.0745 | ETA 3.12h
I 42500 | L 1.0393 | P 2.805e+00 | Lt 1.0532 | Pt 2.843e+00 | H 78.0064 | ETA 2.99h
I 45000 | L 1.0364 | P 2.796e+00 | Lt 1.0541 | Pt 2.846e+00 | H 83.9523 | ETA 2.86h
I 47500 | L 1.0336 | P 2.789e+00 | Lt 1.0505 | Pt 2.836e+00 | H 89.7079 | ETA 2.73h
I 50000 | L 1.0347 | P 2.792e+00 | Lt 1.0494 | Pt 2.833e+00 | H 92.9546 | ETA 2.60h
I 52500 | L 1.0300 | P 2.779e+00 | Lt 1.0449 | Pt 2.820e+00 | H 98.3963 | ETA 2.47h
I 55000 | L 1.0322 | P 2.785e+00 | Lt 1.0443 | Pt 2.819e+00 | H 104.3522 | ETA 2.34h
I 57500 | L 1.0275 | P 2.772e+00 | Lt 1.0419 | Pt 2.812e+00 | H 109.0127 | ETA 2.21h
I 60000 | L 1.0264 | P 2.769e+00 | Lt 1.0425 | Pt 2.813e+00 | H 113.8746 | ETA 2.08h
I 62500 | L 1.0255 | P 2.766e+00 | Lt 1.0448 | Pt 2.820e+00 | H 119.8261 | ETA 1.95h
I 65000 | L 1.0239 | P 2.762e+00 | Lt 1.0405 | Pt 2.808e+00 | H 124.8495 | ETA 1.82h
I 67500 | L 1.0230 | P 2.759e+00 | Lt 1.0385 | Pt 2.802e+00 | H 131.7732 | ETA 1.69h
I 70000 | L 1.0237 | P 2.761e+00 | Lt 1.0391 | Pt 2.804e+00 | H 132.8721 | ETA 1.56h
I 72500 | L 1.0227 | P 2.759e+00 | Lt 1.0366 | Pt 2.797e+00 | H 141.7910 | ETA 1.43h
I 75000 | L 1.0279 | P 2.773e+00 | Lt 1.0353 | Pt 2.793e+00 | H 146.8575 | ETA 1.30h
I 77500 | L 1.0180 | P 2.746e+00 | Lt 1.0400 | Pt 2.807e+00 | H 151.9712 | ETA 1.17h
I 80000 | L 1.0206 | P 2.753e+00 | Lt 1.0377 | Pt 2.800e+00 | H 158.6816 | ETA 1.04h
I 82500 | L 1.0221 | P 2.757e+00 | Lt 1.0354 | Pt 2.794e+00 | H 159.8175 | ETA 0.91h
I 85000 | L 1.0196 | P 2.750e+00 | Lt 1.0331 | Pt 2.787e+00 | H 167.1910 | ETA 0.78h
I 87500 | L 1.0161 | P 2.741e+00 | Lt 1.0309 | Pt 2.781e+00 | H 173.7297 | ETA 0.65h
I 90000 | L 1.0164 | P 2.741e+00 | Lt 1.0273 | Pt 2.771e+00 | H 178.9060 | ETA 0.52h
I 92500 | L 1.0146 | P 2.737e+00 | Lt 1.0307 | Pt 2.781e+00 | H 185.7241 | ETA 0.39h
I 95000 | L 1.0150 | P 2.738e+00 | Lt 1.0274 | Pt 2.772e+00 | H 192.6803 | ETA 0.26h
I 97500 | L 1.0139 | P 2.735e+00 | Lt 1.0264 | Pt 2.769e+00 | H 196.5032 | ETA 0.13h
I 100000 | L 1.0132 | P 2.733e+00 | Lt 1.0264 | Pt 2.769e+00 | H 205.8178 | ETA 0.00h
I 100001 | L 1.0132 | P 2.733e+00 | Lt 1.0264 | Pt 2.769e+00
Finished training!
