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: 211714048.0
cola_params: 8171592
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 256
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: 57344
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: 24576
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: 208568320.0
non_emb_params: 8089672
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-dm256-de-1-h-1-dh64-ttr1-001542
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_001542
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-dm256-de-1-h-1-dh64-ttr1-001542
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2726 | P 3.535e+00 | Lt 1.2950 | Pt 3.615e+00 | H 3.6174 | ETA 4.76h
I 5000 | L 1.1934 | P 3.268e+00 | Lt 1.2187 | Pt 3.351e+00 | H 7.5065 | ETA 4.71h
I 7500 | L 1.1620 | P 3.168e+00 | Lt 1.1853 | Pt 3.242e+00 | H 10.6004 | ETA 4.60h
I 10000 | L 1.1456 | P 3.117e+00 | Lt 1.1658 | Pt 3.180e+00 | H 13.1106 | ETA 4.47h
I 12500 | L 1.1284 | P 3.064e+00 | Lt 1.1561 | Pt 3.149e+00 | H 15.2944 | ETA 4.36h
I 15000 | L 1.1236 | P 3.049e+00 | Lt 1.1453 | Pt 3.116e+00 | H 17.3710 | ETA 4.24h
I 17500 | L 1.1165 | P 3.028e+00 | Lt 1.1345 | Pt 3.082e+00 | H 19.3538 | ETA 4.12h
I 20000 | L 1.1146 | P 3.022e+00 | Lt 1.1298 | Pt 3.068e+00 | H 21.3651 | ETA 4.00h
I 22500 | L 1.1064 | P 2.998e+00 | Lt 1.1237 | Pt 3.050e+00 | H 23.2316 | ETA 3.87h
I 25000 | L 1.1038 | P 2.990e+00 | Lt 1.1206 | Pt 3.040e+00 | H 24.7979 | ETA 3.76h
I 27500 | L 1.1003 | P 2.979e+00 | Lt 1.1237 | Pt 3.050e+00 | H 26.3340 | ETA 3.64h
I 30000 | L 1.0988 | P 2.975e+00 | Lt 1.1155 | Pt 3.025e+00 | H 28.7799 | ETA 3.51h
I 32500 | L 1.0943 | P 2.962e+00 | Lt 1.1127 | Pt 3.016e+00 | H 30.3297 | ETA 3.39h
I 35000 | L 1.0899 | P 2.949e+00 | Lt 1.1128 | Pt 3.017e+00 | H 32.2258 | ETA 3.27h
I 37500 | L 1.0876 | P 2.942e+00 | Lt 1.1041 | Pt 2.991e+00 | H 33.8004 | ETA 3.14h
I 40000 | L 1.0869 | P 2.940e+00 | Lt 1.1029 | Pt 2.987e+00 | H 35.8456 | ETA 3.01h
I 42500 | L 1.0844 | P 2.933e+00 | Lt 1.1063 | Pt 2.997e+00 | H 37.4997 | ETA 2.89h
I 45000 | L 1.0845 | P 2.933e+00 | Lt 1.1008 | Pt 2.981e+00 | H 39.3609 | ETA 2.76h
I 47500 | L 1.0826 | P 2.928e+00 | Lt 1.1046 | Pt 2.992e+00 | H 40.8736 | ETA 2.63h
I 50000 | L 1.0809 | P 2.923e+00 | Lt 1.0982 | Pt 2.973e+00 | H 42.5820 | ETA 2.51h
I 52500 | L 1.0774 | P 2.912e+00 | Lt 1.0975 | Pt 2.971e+00 | H 43.9975 | ETA 2.38h
I 55000 | L 1.0798 | P 2.920e+00 | Lt 1.0960 | Pt 2.967e+00 | H 46.1696 | ETA 2.26h
I 57500 | L 1.0762 | P 2.909e+00 | Lt 1.0961 | Pt 2.967e+00 | H 47.8866 | ETA 2.13h
I 60000 | L 1.0737 | P 2.902e+00 | Lt 1.0900 | Pt 2.949e+00 | H 49.7829 | ETA 2.00h
I 62500 | L 1.0733 | P 2.901e+00 | Lt 1.0917 | Pt 2.954e+00 | H 52.3036 | ETA 1.88h
I 65000 | L 1.0716 | P 2.896e+00 | Lt 1.0927 | Pt 2.957e+00 | H 53.5541 | ETA 1.75h
I 67500 | L 1.0700 | P 2.891e+00 | Lt 1.0924 | Pt 2.956e+00 | H 55.3422 | ETA 1.63h
I 70000 | L 1.0718 | P 2.896e+00 | Lt 1.0905 | Pt 2.951e+00 | H 57.2288 | ETA 1.50h
I 72500 | L 1.0713 | P 2.895e+00 | Lt 1.0918 | Pt 2.954e+00 | H 59.0942 | ETA 1.38h
I 75000 | L 1.0687 | P 2.888e+00 | Lt 1.0867 | Pt 2.940e+00 | H 61.5992 | ETA 1.25h
I 77500 | L 1.0692 | P 2.889e+00 | Lt 1.0884 | Pt 2.944e+00 | H 63.3694 | ETA 1.13h
I 80000 | L 1.0640 | P 2.874e+00 | Lt 1.0885 | Pt 2.945e+00 | H 65.0288 | ETA 1.00h
I 82500 | L 1.0687 | P 2.888e+00 | Lt 1.0871 | Pt 2.941e+00 | H 66.6749 | ETA 0.88h
I 85000 | L 1.0649 | P 2.877e+00 | Lt 1.0853 | Pt 2.935e+00 | H 68.7737 | ETA 0.75h
I 87500 | L 1.0650 | P 2.877e+00 | Lt 1.0857 | Pt 2.937e+00 | H 70.2883 | ETA 0.63h
I 90000 | L 1.0656 | P 2.879e+00 | Lt 1.0850 | Pt 2.935e+00 | H 72.1193 | ETA 0.50h
I 92500 | L 1.0622 | P 2.869e+00 | Lt 1.0841 | Pt 2.932e+00 | H 74.7552 | ETA 0.38h
I 95000 | L 1.0643 | P 2.875e+00 | Lt 1.0787 | Pt 2.916e+00 | H 76.1270 | ETA 0.25h
I 97500 | L 1.0624 | P 2.870e+00 | Lt 1.0818 | Pt 2.925e+00 | H 77.9410 | ETA 0.13h
I 100000 | L 1.0629 | P 2.871e+00 | Lt 1.0798 | Pt 2.919e+00 | H 79.0952 | ETA 0.00h
I 100001 | L 1.0629 | P 2.871e+00 | Lt 1.0798 | Pt 2.919e+00
Finished training!
