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: 681705472.0
cola_params: 32234916
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: 3
neurons: 0
non_emb_flops: 669122560.0
non_emb_params: 31907236
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-dm1024-de-1-h-1-dh64-ttr1-000818
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_000818
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-dm1024-de-1-h-1-dh64-ttr1-000818
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2227 | P 3.364e+00 | Lt 1.2402 | Pt 3.423e+00 | H 3.9766 | ETA 5.65h
I 5000 | L 1.1457 | P 3.117e+00 | Lt 1.1698 | Pt 3.192e+00 | H 8.8843 | ETA 5.51h
I 7500 | L 1.1176 | P 3.031e+00 | Lt 1.1353 | Pt 3.085e+00 | H 12.9767 | ETA 5.37h
I 10000 | L 1.1000 | P 2.979e+00 | Lt 1.1156 | Pt 3.025e+00 | H 16.2577 | ETA 5.23h
I 12500 | L 1.0883 | P 2.944e+00 | Lt 1.1070 | Pt 2.999e+00 | H 19.7721 | ETA 5.09h
I 15000 | L 1.0754 | P 2.907e+00 | Lt 1.0916 | Pt 2.954e+00 | H 22.5729 | ETA 4.94h
I 17500 | L 1.0687 | P 2.888e+00 | Lt 1.0867 | Pt 2.940e+00 | H 25.6757 | ETA 4.80h
I 20000 | L 1.0638 | P 2.874e+00 | Lt 1.0821 | Pt 2.926e+00 | H 28.6002 | ETA 4.66h
I 22500 | L 1.0594 | P 2.861e+00 | Lt 1.0731 | Pt 2.900e+00 | H 31.9316 | ETA 4.51h
I 25000 | L 1.0536 | P 2.845e+00 | Lt 1.0691 | Pt 2.889e+00 | H 34.7569 | ETA 4.37h
I 27500 | L 1.0470 | P 2.826e+00 | Lt 1.0666 | Pt 2.882e+00 | H 37.8303 | ETA 4.22h
I 30000 | L 1.0447 | P 2.819e+00 | Lt 1.0611 | Pt 2.866e+00 | H 40.4929 | ETA 4.08h
I 32500 | L 1.0423 | P 2.813e+00 | Lt 1.0581 | Pt 2.857e+00 | H 43.5301 | ETA 3.93h
I 35000 | L 1.0413 | P 2.810e+00 | Lt 1.0533 | Pt 2.844e+00 | H 46.1964 | ETA 3.79h
I 37500 | L 1.0339 | P 2.790e+00 | Lt 1.0523 | Pt 2.841e+00 | H 48.8394 | ETA 3.64h
I 40000 | L 1.0345 | P 2.791e+00 | Lt 1.0494 | Pt 2.833e+00 | H 52.9109 | ETA 3.50h
I 42500 | L 1.0360 | P 2.795e+00 | Lt 1.0495 | Pt 2.833e+00 | H 55.4971 | ETA 3.35h
I 45000 | L 1.0331 | P 2.787e+00 | Lt 1.0456 | Pt 2.822e+00 | H 58.1483 | ETA 3.20h
I 47500 | L 1.0287 | P 2.775e+00 | Lt 1.0464 | Pt 2.824e+00 | H 61.8963 | ETA 3.06h
I 50000 | L 1.0279 | P 2.773e+00 | Lt 1.0415 | Pt 2.811e+00 | H 64.8327 | ETA 2.91h
I 52500 | L 1.0306 | P 2.781e+00 | Lt 1.0431 | Pt 2.815e+00 | H 67.6607 | ETA 2.76h
I 55000 | L 1.0276 | P 2.772e+00 | Lt 1.0367 | Pt 2.797e+00 | H 71.9130 | ETA 2.62h
I 57500 | L 1.0262 | P 2.768e+00 | Lt 1.0384 | Pt 2.802e+00 | H 74.3278 | ETA 2.47h
I 60000 | L 1.0216 | P 2.756e+00 | Lt 1.0342 | Pt 2.790e+00 | H 77.5517 | ETA 2.33h
I 62500 | L 1.0214 | P 2.755e+00 | Lt 1.0374 | Pt 2.799e+00 | H 80.2717 | ETA 2.18h
I 65000 | L 1.0199 | P 2.751e+00 | Lt 1.0328 | Pt 2.787e+00 | H 84.1213 | ETA 2.04h
I 67500 | L 1.0173 | P 2.744e+00 | Lt 1.0355 | Pt 2.794e+00 | H 87.6772 | ETA 1.89h
I 70000 | L 1.0153 | P 2.738e+00 | Lt 1.0327 | Pt 2.786e+00 | H 91.4180 | ETA 1.75h
I 72500 | L 1.0185 | P 2.747e+00 | Lt 1.0320 | Pt 2.784e+00 | H 94.7727 | ETA 1.60h
I 75000 | L 1.0154 | P 2.739e+00 | Lt 1.0267 | Pt 2.770e+00 | H 97.9074 | ETA 1.45h
I 77500 | L 1.0154 | P 2.739e+00 | Lt 1.0251 | Pt 2.765e+00 | H 100.6036 | ETA 1.31h
I 80000 | L 1.0116 | P 2.729e+00 | Lt 1.0325 | Pt 2.786e+00 | H 104.3979 | ETA 1.16h
I 82500 | L 1.0145 | P 2.736e+00 | Lt 1.0267 | Pt 2.770e+00 | H 108.0523 | ETA 1.02h
I 85000 | L 1.0122 | P 2.730e+00 | Lt 1.0263 | Pt 2.769e+00 | H 111.8832 | ETA 0.87h
I 87500 | L 1.0143 | P 2.736e+00 | Lt 1.0237 | Pt 2.762e+00 | H 116.3758 | ETA 0.73h
I 90000 | L 1.0094 | P 2.723e+00 | Lt 1.0241 | Pt 2.763e+00 | H 118.9782 | ETA 0.58h
I 92500 | L 1.0086 | P 2.720e+00 | Lt 1.0248 | Pt 2.764e+00 | H 121.9066 | ETA 0.44h
I 95000 | L 1.0060 | P 2.713e+00 | Lt 1.0265 | Pt 2.769e+00 | H 126.1471 | ETA 0.29h
I 97500 | L 1.0099 | P 2.724e+00 | Lt 1.0234 | Pt 2.761e+00 | H 129.6969 | ETA 0.15h
I 100000 | L 1.0067 | P 2.715e+00 | Lt 1.0226 | Pt 2.758e+00 | H 133.6073 | ETA 0.00h
I 100001 | L 1.0067 | P 2.715e+00 | Lt 1.0226 | Pt 2.758e+00
Finished training!
