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: 263782400.0
cola_params: 6176676
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: 3
neurons: 0
non_emb_flops: 257490944.0
non_emb_params: 6012836
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_l3-dm512-de-1-h-1-dh64-ttr1-000032
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_000032
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_l3-dm512-de-1-h-1-dh64-ttr1-000032
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2657 | P 3.511e+00 | Lt 1.2850 | Pt 3.579e+00 | H 4.5618 | ETA 2.62h
I 5000 | L 1.1953 | P 3.274e+00 | Lt 1.2160 | Pt 3.342e+00 | H 9.8925 | ETA 2.54h
I 7500 | L 1.1642 | P 3.175e+00 | Lt 1.1884 | Pt 3.252e+00 | H 13.9460 | ETA 2.47h
I 10000 | L 1.1523 | P 3.137e+00 | Lt 1.1728 | Pt 3.202e+00 | H 17.5759 | ETA 2.41h
I 12500 | L 1.1406 | P 3.101e+00 | Lt 1.1601 | Pt 3.162e+00 | H 21.1530 | ETA 2.34h
I 15000 | L 1.1349 | P 3.084e+00 | Lt 1.1568 | Pt 3.151e+00 | H 23.8982 | ETA 2.27h
I 17500 | L 1.1294 | P 3.067e+00 | Lt 1.1451 | Pt 3.115e+00 | H 26.8379 | ETA 2.21h
I 20000 | L 1.1229 | P 3.047e+00 | Lt 1.1382 | Pt 3.094e+00 | H 30.0046 | ETA 2.14h
I 22500 | L 1.1180 | P 3.032e+00 | Lt 1.1376 | Pt 3.092e+00 | H 33.0426 | ETA 2.08h
I 25000 | L 1.1155 | P 3.025e+00 | Lt 1.1351 | Pt 3.084e+00 | H 36.1201 | ETA 2.01h
I 27500 | L 1.1111 | P 3.012e+00 | Lt 1.1288 | Pt 3.065e+00 | H 38.5802 | ETA 1.94h
I 30000 | L 1.1066 | P 2.998e+00 | Lt 1.1269 | Pt 3.059e+00 | H 41.6741 | ETA 1.87h
I 32500 | L 1.1063 | P 2.997e+00 | Lt 1.1238 | Pt 3.050e+00 | H 44.3063 | ETA 1.80h
I 35000 | L 1.1026 | P 2.986e+00 | Lt 1.1224 | Pt 3.046e+00 | H 47.3150 | ETA 1.73h
I 37500 | L 1.1056 | P 2.995e+00 | Lt 1.1228 | Pt 3.047e+00 | H 49.7820 | ETA 1.67h
I 40000 | L 1.0991 | P 2.976e+00 | Lt 1.1184 | Pt 3.034e+00 | H 52.3129 | ETA 1.60h
I 42500 | L 1.0972 | P 2.971e+00 | Lt 1.1216 | Pt 3.043e+00 | H 55.8763 | ETA 1.53h
I 45000 | L 1.0968 | P 2.969e+00 | Lt 1.1169 | Pt 3.029e+00 | H 59.2437 | ETA 1.46h
I 47500 | L 1.0970 | P 2.970e+00 | Lt 1.1136 | Pt 3.019e+00 | H 61.4449 | ETA 1.40h
I 50000 | L 1.0932 | P 2.959e+00 | Lt 1.1137 | Pt 3.019e+00 | H 64.7805 | ETA 1.33h
I 52500 | L 1.0957 | P 2.966e+00 | Lt 1.1108 | Pt 3.011e+00 | H 67.4919 | ETA 1.26h
I 55000 | L 1.0914 | P 2.953e+00 | Lt 1.1096 | Pt 3.007e+00 | H 70.5534 | ETA 1.20h
I 57500 | L 1.0917 | P 2.954e+00 | Lt 1.1137 | Pt 3.020e+00 | H 73.3767 | ETA 1.13h
I 60000 | L 1.0910 | P 2.952e+00 | Lt 1.1102 | Pt 3.009e+00 | H 77.3304 | ETA 1.06h
I 62500 | L 1.0867 | P 2.940e+00 | Lt 1.1051 | Pt 2.994e+00 | H 79.5689 | ETA 1.00h
I 65000 | L 1.0912 | P 2.953e+00 | Lt 1.1063 | Pt 2.997e+00 | H 82.0713 | ETA 0.93h
I 67500 | L 1.0863 | P 2.938e+00 | Lt 1.1061 | Pt 2.997e+00 | H 85.9419 | ETA 0.87h
I 70000 | L 1.0877 | P 2.942e+00 | Lt 1.1081 | Pt 3.003e+00 | H 88.6728 | ETA 0.80h
I 72500 | L 1.0857 | P 2.937e+00 | Lt 1.1033 | Pt 2.989e+00 | H 91.5748 | ETA 0.73h
I 75000 | L 1.0838 | P 2.931e+00 | Lt 1.1040 | Pt 2.990e+00 | H 94.7070 | ETA 0.67h
I 77500 | L 1.0841 | P 2.932e+00 | Lt 1.1060 | Pt 2.997e+00 | H 96.9617 | ETA 0.60h
I 80000 | L 1.0834 | P 2.930e+00 | Lt 1.1011 | Pt 2.982e+00 | H 100.4721 | ETA 0.53h
I 82500 | L 1.0855 | P 2.936e+00 | Lt 1.1015 | Pt 2.983e+00 | H 103.2428 | ETA 0.47h
I 85000 | L 1.0818 | P 2.925e+00 | Lt 1.0978 | Pt 2.972e+00 | H 106.7229 | ETA 0.40h
I 87500 | L 1.0832 | P 2.929e+00 | Lt 1.1014 | Pt 2.983e+00 | H 109.0987 | ETA 0.33h
I 90000 | L 1.0807 | P 2.922e+00 | Lt 1.0992 | Pt 2.976e+00 | H 113.0467 | ETA 0.27h
I 92500 | L 1.0815 | P 2.925e+00 | Lt 1.1006 | Pt 2.980e+00 | H 114.2103 | ETA 0.20h
I 95000 | L 1.0831 | P 2.929e+00 | Lt 1.0961 | Pt 2.967e+00 | H 117.7083 | ETA 0.13h
I 97500 | L 1.0797 | P 2.919e+00 | Lt 1.0974 | Pt 2.971e+00 | H 120.9788 | ETA 0.07h
I 100000 | L 1.0818 | P 2.925e+00 | Lt 1.0968 | Pt 2.969e+00 | H 124.1461 | ETA 0.00h
I 100001 | L 1.0818 | P 2.925e+00 | Lt 1.0968 | Pt 2.969e+00
Finished training!
