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: 315916288.0
cola_params: 12216300
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: 9
neurons: 0
non_emb_flops: 312770560.0
non_emb_params: 12134380
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_l9-dm256-de-1-h-1-dh64-ttr1-010543
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_010543
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_l9-dm256-de-1-h-1-dh64-ttr1-010543
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2546 | P 3.473e+00 | Lt 1.2765 | Pt 3.549e+00 | H 3.5073 | ETA 7.29h
I 5000 | L 1.1800 | P 3.225e+00 | Lt 1.1985 | Pt 3.284e+00 | H 7.1989 | ETA 7.13h
I 7500 | L 1.1450 | P 3.115e+00 | Lt 1.1696 | Pt 3.192e+00 | H 9.8654 | ETA 6.95h
I 10000 | L 1.1295 | P 3.067e+00 | Lt 1.1513 | Pt 3.134e+00 | H 12.2940 | ETA 6.78h
I 12500 | L 1.1138 | P 3.020e+00 | Lt 1.1390 | Pt 3.096e+00 | H 14.4115 | ETA 6.60h
I 15000 | L 1.1045 | P 2.992e+00 | Lt 1.1255 | Pt 3.055e+00 | H 16.7702 | ETA 6.42h
I 17500 | L 1.0968 | P 2.969e+00 | Lt 1.1164 | Pt 3.028e+00 | H 18.6195 | ETA 6.26h
I 20000 | L 1.0909 | P 2.952e+00 | Lt 1.1139 | Pt 3.020e+00 | H 20.4899 | ETA 6.07h
I 22500 | L 1.0886 | P 2.945e+00 | Lt 1.1067 | Pt 2.999e+00 | H 22.3929 | ETA 5.88h
I 25000 | L 1.0860 | P 2.938e+00 | Lt 1.1043 | Pt 2.991e+00 | H 24.2290 | ETA 5.70h
I 27500 | L 1.0795 | P 2.919e+00 | Lt 1.0987 | Pt 2.975e+00 | H 25.8618 | ETA 5.51h
I 30000 | L 1.0742 | P 2.903e+00 | Lt 1.0904 | Pt 2.950e+00 | H 27.5151 | ETA 5.33h
I 32500 | L 1.0698 | P 2.891e+00 | Lt 1.0899 | Pt 2.949e+00 | H 29.2397 | ETA 5.14h
I 35000 | L 1.0670 | P 2.883e+00 | Lt 1.0902 | Pt 2.950e+00 | H 30.9327 | ETA 4.95h
I 37500 | L 1.0691 | P 2.889e+00 | Lt 1.0856 | Pt 2.937e+00 | H 32.8758 | ETA 4.76h
I 40000 | L 1.0635 | P 2.873e+00 | Lt 1.0816 | Pt 2.925e+00 | H 34.5133 | ETA 4.57h
I 42500 | L 1.0633 | P 2.872e+00 | Lt 1.0833 | Pt 2.930e+00 | H 36.5119 | ETA 4.39h
I 45000 | L 1.0593 | P 2.861e+00 | Lt 1.0792 | Pt 2.918e+00 | H 37.9936 | ETA 4.20h
I 47500 | L 1.0625 | P 2.870e+00 | Lt 1.0835 | Pt 2.930e+00 | H 40.1688 | ETA 4.01h
I 50000 | L 1.0586 | P 2.859e+00 | Lt 1.0779 | Pt 2.914e+00 | H 41.9068 | ETA 3.82h
I 52500 | L 1.0570 | P 2.854e+00 | Lt 1.0763 | Pt 2.909e+00 | H 43.5067 | ETA 3.64h
I 55000 | L 1.0564 | P 2.853e+00 | Lt 1.0687 | Pt 2.888e+00 | H 45.2237 | ETA 3.45h
I 57500 | L 1.0562 | P 2.852e+00 | Lt 1.0706 | Pt 2.893e+00 | H 47.2646 | ETA 3.26h
I 60000 | L 1.0542 | P 2.846e+00 | Lt 1.0745 | Pt 2.904e+00 | H 48.7713 | ETA 3.07h
I 62500 | L 1.0518 | P 2.839e+00 | Lt 1.0681 | Pt 2.886e+00 | H 50.6309 | ETA 2.88h
I 65000 | L 1.0511 | P 2.838e+00 | Lt 1.0690 | Pt 2.888e+00 | H 52.4067 | ETA 2.68h
I 67500 | L 1.0456 | P 2.822e+00 | Lt 1.0659 | Pt 2.879e+00 | H 54.2245 | ETA 2.49h
I 70000 | L 1.0493 | P 2.832e+00 | Lt 1.0639 | Pt 2.874e+00 | H 56.5955 | ETA 2.30h
I 72500 | L 1.0493 | P 2.832e+00 | Lt 1.0649 | Pt 2.877e+00 | H 58.3447 | ETA 2.11h
I 75000 | L 1.0473 | P 2.827e+00 | Lt 1.0612 | Pt 2.866e+00 | H 60.5192 | ETA 1.92h
I 77500 | L 1.0446 | P 2.819e+00 | Lt 1.0576 | Pt 2.856e+00 | H 62.2685 | ETA 1.73h
I 80000 | L 1.0419 | P 2.812e+00 | Lt 1.0607 | Pt 2.865e+00 | H 64.3513 | ETA 1.54h
I 82500 | L 1.0450 | P 2.820e+00 | Lt 1.0620 | Pt 2.868e+00 | H 66.9159 | ETA 1.34h
I 85000 | L 1.0413 | P 2.810e+00 | Lt 1.0577 | Pt 2.856e+00 | H 68.0952 | ETA 1.15h
I 87500 | L 1.0430 | P 2.815e+00 | Lt 1.0598 | Pt 2.862e+00 | H 69.7797 | ETA 0.96h
I 90000 | L 1.0410 | P 2.809e+00 | Lt 1.0575 | Pt 2.856e+00 | H 72.2323 | ETA 0.77h
I 92500 | L 1.0409 | P 2.809e+00 | Lt 1.0556 | Pt 2.850e+00 | H 72.9964 | ETA 0.58h
I 95000 | L 1.0394 | P 2.805e+00 | Lt 1.0583 | Pt 2.858e+00 | H 75.5219 | ETA 0.39h
I 97500 | L 1.0397 | P 2.806e+00 | Lt 1.0572 | Pt 2.855e+00 | H 77.5610 | ETA 0.19h
I 100000 | L 1.0342 | P 2.791e+00 | Lt 1.0545 | Pt 2.847e+00 | H 79.6890 | ETA 0.00h
I 100001 | L 1.0342 | P 2.791e+00 | Lt 1.0545 | Pt 2.847e+00
Finished training!
