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: 1891237888.0
cola_params: 24273132
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 1024
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: 229376
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: 98304
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: 9
neurons: 0
non_emb_flops: 1878654976.0
non_emb_params: 23945452
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_l9-dm1024-de-1-h-1-dh64-ttr1-193122
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_193122
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_l9-dm1024-de-1-h-1-dh64-ttr1-193122
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2157 | P 3.341e+00 | Lt 1.2325 | Pt 3.397e+00 | H 4.3665 | ETA 9.27h
I 5000 | L 1.1350 | P 3.084e+00 | Lt 1.1563 | Pt 3.150e+00 | H 9.8831 | ETA 9.06h
I 7500 | L 1.1043 | P 2.991e+00 | Lt 1.1219 | Pt 3.044e+00 | H 15.4873 | ETA 8.85h
I 10000 | L 1.0892 | P 2.947e+00 | Lt 1.1065 | Pt 2.998e+00 | H 20.9001 | ETA 8.62h
I 12500 | L 1.0734 | P 2.901e+00 | Lt 1.0935 | Pt 2.959e+00 | H 26.4153 | ETA 8.40h
I 15000 | L 1.0636 | P 2.873e+00 | Lt 1.0817 | Pt 2.925e+00 | H 31.8606 | ETA 8.16h
I 17500 | L 1.0596 | P 2.861e+00 | Lt 1.0744 | Pt 2.904e+00 | H 37.1256 | ETA 7.92h
I 20000 | L 1.0498 | P 2.834e+00 | Lt 1.0670 | Pt 2.883e+00 | H 43.7684 | ETA 7.68h
I 22500 | L 1.0495 | P 2.833e+00 | Lt 1.0648 | Pt 2.876e+00 | H 49.2621 | ETA 7.44h
I 25000 | L 1.0402 | P 2.807e+00 | Lt 1.0595 | Pt 2.861e+00 | H 54.8135 | ETA 7.19h
I 27500 | L 1.0395 | P 2.805e+00 | Lt 1.0570 | Pt 2.854e+00 | H 59.8251 | ETA 6.95h
I 30000 | L 1.0340 | P 2.790e+00 | Lt 1.0501 | Pt 2.835e+00 | H 65.4847 | ETA 6.71h
I 32500 | L 1.0323 | P 2.785e+00 | Lt 1.0501 | Pt 2.835e+00 | H 70.9917 | ETA 6.47h
I 35000 | L 1.0272 | P 2.771e+00 | Lt 1.0462 | Pt 2.824e+00 | H 77.6215 | ETA 6.23h
I 37500 | L 1.0296 | P 2.778e+00 | Lt 1.0406 | Pt 2.808e+00 | H 83.9341 | ETA 5.99h
I 40000 | L 1.0267 | P 2.770e+00 | Lt 1.0435 | Pt 2.816e+00 | H 89.2831 | ETA 5.75h
I 42500 | L 1.0190 | P 2.749e+00 | Lt 1.0403 | Pt 2.807e+00 | H 96.1862 | ETA 5.51h
I 45000 | L 1.0198 | P 2.751e+00 | Lt 1.0354 | Pt 2.794e+00 | H 101.4469 | ETA 5.27h
I 47500 | L 1.0187 | P 2.748e+00 | Lt 1.0303 | Pt 2.780e+00 | H 108.4693 | ETA 5.03h
I 50000 | L 1.0177 | P 2.745e+00 | Lt 1.0351 | Pt 2.793e+00 | H 113.6531 | ETA 4.79h
I 52500 | L 1.0144 | P 2.736e+00 | Lt 1.0317 | Pt 2.783e+00 | H 120.0995 | ETA 4.55h
I 55000 | L 1.0115 | P 2.728e+00 | Lt 1.0283 | Pt 2.774e+00 | H 125.5499 | ETA 4.31h
I 57500 | L 1.0134 | P 2.733e+00 | Lt 1.0262 | Pt 2.768e+00 | H 132.7701 | ETA 4.07h
I 60000 | L 1.0102 | P 2.725e+00 | Lt 1.0299 | Pt 2.779e+00 | H 138.3072 | ETA 3.83h
I 62500 | L 1.0076 | P 2.718e+00 | Lt 1.0228 | Pt 2.759e+00 | H 145.6930 | ETA 3.59h
I 65000 | L 1.0079 | P 2.718e+00 | Lt 1.0267 | Pt 2.770e+00 | H 150.5044 | ETA 3.35h
I 67500 | L 1.0046 | P 2.710e+00 | Lt 1.0235 | Pt 2.761e+00 | H 158.8982 | ETA 3.11h
I 70000 | L 1.0051 | P 2.711e+00 | Lt 1.0237 | Pt 2.761e+00 | H 163.9070 | ETA 2.87h
I 72500 | L 1.0054 | P 2.712e+00 | Lt 1.0216 | Pt 2.756e+00 | H 169.7165 | ETA 2.63h
I 75000 | L 1.0035 | P 2.707e+00 | Lt 1.0187 | Pt 2.748e+00 | H 178.1191 | ETA 2.39h
I 77500 | L 1.0010 | P 2.700e+00 | Lt 1.0175 | Pt 2.745e+00 | H 184.5649 | ETA 2.15h
I 80000 | L 1.0015 | P 2.701e+00 | Lt 1.0180 | Pt 2.746e+00 | H 190.4102 | ETA 1.91h
I 82500 | L 1.0072 | P 2.717e+00 | Lt 1.0168 | Pt 2.743e+00 | H 199.6790 | ETA 1.68h
I 85000 | L 1.0014 | P 2.701e+00 | Lt 1.0140 | Pt 2.735e+00 | H 206.4781 | ETA 1.44h
I 87500 | L 1.0010 | P 2.700e+00 | Lt 1.0154 | Pt 2.739e+00 | H 212.6477 | ETA 1.20h
I 90000 | L 0.9993 | P 2.695e+00 | Lt 1.0120 | Pt 2.730e+00 | H 216.6817 | ETA 0.96h
I 92500 | L 1.0003 | P 2.698e+00 | Lt 1.0143 | Pt 2.736e+00 | H 226.0598 | ETA 0.72h
I 95000 | L 1.0017 | P 2.702e+00 | Lt 1.0124 | Pt 2.731e+00 | H 234.3868 | ETA 0.48h
I 97500 | L 0.9969 | P 2.689e+00 | Lt 1.0108 | Pt 2.726e+00 | H 239.7407 | ETA 0.24h
I 100000 | L 0.9978 | P 2.691e+00 | Lt 1.0112 | Pt 2.728e+00 | H 250.2653 | ETA 0.00h
I 100001 | L 0.9978 | P 2.691e+00 | Lt 1.0112 | Pt 2.728e+00
Finished training!
