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: 506789888.0
cola_params: 6180168
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: 6
neurons: 0
non_emb_flops: 500498432.0
non_emb_params: 6016328
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_l6-dm512-de-1-h-1-dh64-ttr1-002858
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_002858
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_l6-dm512-de-1-h-1-dh64-ttr1-002858
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2500 | P 3.457e+00 | Lt 1.2705 | Pt 3.528e+00 | H 3.4572 | ETA 4.84h
I 5000 | L 1.1790 | P 3.221e+00 | Lt 1.1986 | Pt 3.285e+00 | H 8.1433 | ETA 4.70h
I 7500 | L 1.1512 | P 3.134e+00 | Lt 1.1735 | Pt 3.204e+00 | H 12.7630 | ETA 4.60h
I 10000 | L 1.1368 | P 3.089e+00 | Lt 1.1532 | Pt 3.140e+00 | H 16.7727 | ETA 4.45h
I 12500 | L 1.1223 | P 3.045e+00 | Lt 1.1401 | Pt 3.099e+00 | H 20.8990 | ETA 4.33h
I 15000 | L 1.1195 | P 3.037e+00 | Lt 1.1384 | Pt 3.094e+00 | H 24.6284 | ETA 4.22h
I 17500 | L 1.1120 | P 3.014e+00 | Lt 1.1283 | Pt 3.064e+00 | H 28.2659 | ETA 4.09h
I 20000 | L 1.1064 | P 2.998e+00 | Lt 1.1286 | Pt 3.064e+00 | H 31.8202 | ETA 3.96h
I 22500 | L 1.1056 | P 2.995e+00 | Lt 1.1198 | Pt 3.038e+00 | H 35.1305 | ETA 3.84h
I 25000 | L 1.0982 | P 2.973e+00 | Lt 1.1190 | Pt 3.035e+00 | H 38.4256 | ETA 3.71h
I 27500 | L 1.0956 | P 2.966e+00 | Lt 1.1170 | Pt 3.029e+00 | H 41.3468 | ETA 3.58h
I 30000 | L 1.0912 | P 2.953e+00 | Lt 1.1139 | Pt 3.020e+00 | H 45.1625 | ETA 3.46h
I 32500 | L 1.0897 | P 2.948e+00 | Lt 1.1092 | Pt 3.006e+00 | H 48.2626 | ETA 3.33h
I 35000 | L 1.0898 | P 2.949e+00 | Lt 1.1076 | Pt 3.001e+00 | H 50.9484 | ETA 3.22h
I 37500 | L 1.0852 | P 2.935e+00 | Lt 1.1049 | Pt 2.993e+00 | H 54.4264 | ETA 3.11h
I 40000 | L 1.0855 | P 2.936e+00 | Lt 1.1049 | Pt 2.993e+00 | H 57.2104 | ETA 2.99h
I 42500 | L 1.0832 | P 2.929e+00 | Lt 1.1027 | Pt 2.987e+00 | H 60.8108 | ETA 2.86h
I 45000 | L 1.0796 | P 2.919e+00 | Lt 1.0998 | Pt 2.978e+00 | H 64.2720 | ETA 2.74h
I 47500 | L 1.0801 | P 2.920e+00 | Lt 1.0965 | Pt 2.968e+00 | H 66.3655 | ETA 2.62h
I 50000 | L 1.0766 | P 2.910e+00 | Lt 1.0995 | Pt 2.977e+00 | H 69.5681 | ETA 2.50h
I 52500 | L 1.0788 | P 2.917e+00 | Lt 1.0979 | Pt 2.972e+00 | H 72.1306 | ETA 2.37h
I 55000 | L 1.0783 | P 2.915e+00 | Lt 1.0944 | Pt 2.962e+00 | H 75.3062 | ETA 2.24h
I 57500 | L 1.0737 | P 2.902e+00 | Lt 1.0937 | Pt 2.960e+00 | H 78.9667 | ETA 2.12h
I 60000 | L 1.0718 | P 2.896e+00 | Lt 1.0906 | Pt 2.951e+00 | H 81.3593 | ETA 1.99h
I 62500 | L 1.0711 | P 2.895e+00 | Lt 1.0896 | Pt 2.948e+00 | H 85.4139 | ETA 1.87h
I 65000 | L 1.0713 | P 2.895e+00 | Lt 1.0948 | Pt 2.963e+00 | H 87.5520 | ETA 1.74h
I 67500 | L 1.0708 | P 2.894e+00 | Lt 1.0882 | Pt 2.944e+00 | H 91.3983 | ETA 1.62h
I 70000 | L 1.0677 | P 2.885e+00 | Lt 1.0904 | Pt 2.950e+00 | H 92.8861 | ETA 1.49h
I 72500 | L 1.0656 | P 2.879e+00 | Lt 1.0867 | Pt 2.939e+00 | H 97.3904 | ETA 1.37h
I 75000 | L 1.0642 | P 2.875e+00 | Lt 1.0867 | Pt 2.940e+00 | H 99.6312 | ETA 1.24h
I 77500 | L 1.0651 | P 2.877e+00 | Lt 1.0887 | Pt 2.945e+00 | H 102.7592 | ETA 1.12h
I 80000 | L 1.0696 | P 2.890e+00 | Lt 1.0887 | Pt 2.946e+00 | H 106.7852 | ETA 1.00h
I 82500 | L 1.0691 | P 2.889e+00 | Lt 1.0811 | Pt 2.923e+00 | H 109.1526 | ETA 0.87h
I 85000 | L 1.0613 | P 2.866e+00 | Lt 1.0842 | Pt 2.932e+00 | H 112.3333 | ETA 0.75h
I 87500 | L 1.0631 | P 2.872e+00 | Lt 1.0818 | Pt 2.925e+00 | H 115.8452 | ETA 0.62h
I 90000 | L 1.0665 | P 2.881e+00 | Lt 1.0791 | Pt 2.917e+00 | H 119.2264 | ETA 0.50h
I 92500 | L 1.0623 | P 2.869e+00 | Lt 1.0808 | Pt 2.922e+00 | H 121.8510 | ETA 0.37h
I 95000 | L 1.0637 | P 2.873e+00 | Lt 1.0787 | Pt 2.916e+00 | H 125.6702 | ETA 0.25h
I 97500 | L 1.0623 | P 2.869e+00 | Lt 1.0821 | Pt 2.926e+00 | H 128.4745 | ETA 0.12h
I 100000 | L 1.0607 | P 2.865e+00 | Lt 1.0807 | Pt 2.922e+00 | H 132.4442 | ETA 0.00h
I 100001 | L 1.0607 | P 2.865e+00 | Lt 1.0807 | Pt 2.922e+00
Finished training!
