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: 778108928.0
cola_params: 18201324
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: 9
neurons: 0
non_emb_flops: 771817472.0
non_emb_params: 18037484
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 8
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e8_k2_ffe1k2_all_but_last_l9-dm512-de-1-h-1-dh64-ttr1-193146
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_193146
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_e8_k2_ffe1k2_all_but_last_l9-dm512-de-1-h-1-dh64-ttr1-193146
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2215 | P 3.360e+00 | Lt 1.2390 | Pt 3.419e+00 | H 3.7104 | ETA 7.79h
I 5000 | L 1.1444 | P 3.113e+00 | Lt 1.1633 | Pt 3.172e+00 | H 8.1460 | ETA 7.55h
I 7500 | L 1.1158 | P 3.026e+00 | Lt 1.1379 | Pt 3.093e+00 | H 11.9957 | ETA 7.37h
I 10000 | L 1.1024 | P 2.986e+00 | Lt 1.1152 | Pt 3.024e+00 | H 15.5451 | ETA 7.16h
I 12500 | L 1.0841 | P 2.932e+00 | Lt 1.1034 | Pt 2.989e+00 | H 19.3263 | ETA 6.97h
I 15000 | L 1.0785 | P 2.916e+00 | Lt 1.0954 | Pt 2.965e+00 | H 22.4851 | ETA 6.77h
I 17500 | L 1.0651 | P 2.877e+00 | Lt 1.0896 | Pt 2.948e+00 | H 26.0091 | ETA 6.56h
I 20000 | L 1.0629 | P 2.871e+00 | Lt 1.0783 | Pt 2.915e+00 | H 29.3701 | ETA 6.36h
I 22500 | L 1.0547 | P 2.848e+00 | Lt 1.0757 | Pt 2.908e+00 | H 32.8505 | ETA 6.16h
I 25000 | L 1.0530 | P 2.843e+00 | Lt 1.0710 | Pt 2.894e+00 | H 35.8831 | ETA 5.96h
I 27500 | L 1.0505 | P 2.836e+00 | Lt 1.0642 | Pt 2.875e+00 | H 39.5135 | ETA 5.77h
I 30000 | L 1.0484 | P 2.830e+00 | Lt 1.0641 | Pt 2.874e+00 | H 42.6041 | ETA 5.58h
I 32500 | L 1.0441 | P 2.818e+00 | Lt 1.0606 | Pt 2.865e+00 | H 45.7340 | ETA 5.38h
I 35000 | L 1.0400 | P 2.806e+00 | Lt 1.0613 | Pt 2.867e+00 | H 49.3470 | ETA 5.18h
I 37500 | L 1.0367 | P 2.797e+00 | Lt 1.0557 | Pt 2.850e+00 | H 52.4540 | ETA 4.98h
I 40000 | L 1.0333 | P 2.788e+00 | Lt 1.0522 | Pt 2.841e+00 | H 56.2879 | ETA 4.78h
I 42500 | L 1.0308 | P 2.781e+00 | Lt 1.0519 | Pt 2.840e+00 | H 59.5176 | ETA 4.58h
I 45000 | L 1.0303 | P 2.780e+00 | Lt 1.0500 | Pt 2.834e+00 | H 62.4784 | ETA 4.38h
I 47500 | L 1.0285 | P 2.775e+00 | Lt 1.0496 | Pt 2.833e+00 | H 65.7192 | ETA 4.18h
I 50000 | L 1.0271 | P 2.771e+00 | Lt 1.0431 | Pt 2.815e+00 | H 68.5876 | ETA 3.98h
I 52500 | L 1.0244 | P 2.763e+00 | Lt 1.0453 | Pt 2.821e+00 | H 72.8174 | ETA 3.78h
I 55000 | L 1.0254 | P 2.766e+00 | Lt 1.0405 | Pt 2.808e+00 | H 76.2138 | ETA 3.58h
I 57500 | L 1.0277 | P 2.772e+00 | Lt 1.0386 | Pt 2.803e+00 | H 80.0616 | ETA 3.38h
I 60000 | L 1.0205 | P 2.753e+00 | Lt 1.0411 | Pt 2.810e+00 | H 83.3715 | ETA 3.18h
I 62500 | L 1.0238 | P 2.762e+00 | Lt 1.0398 | Pt 2.806e+00 | H 86.4893 | ETA 2.98h
I 65000 | L 1.0187 | P 2.748e+00 | Lt 1.0342 | Pt 2.790e+00 | H 89.4000 | ETA 2.78h
I 67500 | L 1.0196 | P 2.750e+00 | Lt 1.0370 | Pt 2.798e+00 | H 93.5769 | ETA 2.59h
I 70000 | L 1.0193 | P 2.750e+00 | Lt 1.0336 | Pt 2.789e+00 | H 96.7676 | ETA 2.39h
I 72500 | L 1.0192 | P 2.749e+00 | Lt 1.0332 | Pt 2.788e+00 | H 99.0617 | ETA 2.19h
I 75000 | L 1.0223 | P 2.758e+00 | Lt 1.0324 | Pt 2.785e+00 | H 103.4679 | ETA 1.99h
I 77500 | L 1.0177 | P 2.745e+00 | Lt 1.0336 | Pt 2.789e+00 | H 107.0625 | ETA 1.79h
I 80000 | L 1.0130 | P 2.732e+00 | Lt 1.0272 | Pt 2.771e+00 | H 109.8801 | ETA 1.59h
I 82500 | L 1.0134 | P 2.733e+00 | Lt 1.0307 | Pt 2.781e+00 | H 113.6933 | ETA 1.39h
I 85000 | L 1.0122 | P 2.730e+00 | Lt 1.0308 | Pt 2.781e+00 | H 117.3876 | ETA 1.19h
I 87500 | L 1.0137 | P 2.734e+00 | Lt 1.0301 | Pt 2.779e+00 | H 121.6304 | ETA 0.99h
I 90000 | L 1.0120 | P 2.730e+00 | Lt 1.0289 | Pt 2.776e+00 | H 125.6168 | ETA 0.80h
I 92500 | L 1.0114 | P 2.728e+00 | Lt 1.0285 | Pt 2.775e+00 | H 128.3115 | ETA 0.60h
I 95000 | L 1.0122 | P 2.730e+00 | Lt 1.0263 | Pt 2.769e+00 | H 132.0714 | ETA 0.40h
I 97500 | L 1.0075 | P 2.718e+00 | Lt 1.0265 | Pt 2.769e+00 | H 136.7164 | ETA 0.20h
I 100000 | L 1.0110 | P 2.727e+00 | Lt 1.0234 | Pt 2.761e+00 | H 141.2031 | ETA 0.00h
I 100001 | L 1.0110 | P 2.727e+00 | Lt 1.0234 | Pt 2.761e+00
Finished training!
