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: 6211567616
cola_params: 85127808
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: 6205276160
non_emb_params: 84963968
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 4
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe4k2_all_but_last_l9-dm512-de-1-h-1-dh64-ttr1-174253
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_174253
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: dense_e0_k2_ffe4k2_all_but_last_l9-dm512-de-1-h-1-dh64-ttr1-174253
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1826 | P 3.233e+00 | Lt 1.1996 | Pt 3.288e+00 | H 34.9870 | ETA 4.57h
I 5000 | L 1.1041 | P 2.991e+00 | Lt 1.1262 | Pt 3.057e+00 | H 88.0018 | ETA 4.57h
I 7500 | L 1.0729 | P 2.900e+00 | Lt 1.0939 | Pt 2.961e+00 | H 120.3310 | ETA 4.49h
I 10000 | L 1.0536 | P 2.845e+00 | Lt 1.0732 | Pt 2.901e+00 | H 153.6965 | ETA 4.38h
I 12500 | L 1.0415 | P 2.811e+00 | Lt 1.0582 | Pt 2.858e+00 | H 182.0688 | ETA 4.26h
I 15000 | L 1.0331 | P 2.787e+00 | Lt 1.0473 | Pt 2.827e+00 | H 214.1055 | ETA 4.13h
I 17500 | L 1.0243 | P 2.763e+00 | Lt 1.0391 | Pt 2.804e+00 | H 247.8866 | ETA 4.01h
I 20000 | L 1.0180 | P 2.746e+00 | Lt 1.0279 | Pt 2.773e+00 | H 272.7244 | ETA 3.89h
I 22500 | L 1.0110 | P 2.727e+00 | Lt 1.0271 | Pt 2.771e+00 | H 303.7592 | ETA 3.77h
I 25000 | L 1.0039 | P 2.708e+00 | Lt 1.0222 | Pt 2.757e+00 | H 339.3630 | ETA 3.64h
I 27500 | L 1.0021 | P 2.703e+00 | Lt 1.0163 | Pt 2.741e+00 | H 369.1459 | ETA 3.51h
I 30000 | L 0.9960 | P 2.687e+00 | Lt 1.0117 | Pt 2.729e+00 | H 402.6666 | ETA 3.38h
I 32500 | L 0.9919 | P 2.676e+00 | Lt 1.0113 | Pt 2.728e+00 | H 434.8962 | ETA 3.26h
I 35000 | L 0.9923 | P 2.677e+00 | Lt 1.0046 | Pt 2.710e+00 | H 465.9423 | ETA 3.14h
I 37500 | L 0.9881 | P 2.666e+00 | Lt 1.0079 | Pt 2.719e+00 | H 494.9312 | ETA 3.01h
I 40000 | L 0.9849 | P 2.657e+00 | Lt 1.0016 | Pt 2.702e+00 | H 531.2844 | ETA 2.89h
I 42500 | L 0.9817 | P 2.649e+00 | Lt 0.9960 | Pt 2.687e+00 | H 567.1109 | ETA 2.77h
I 45000 | L 0.9799 | P 2.644e+00 | Lt 0.9926 | Pt 2.678e+00 | H 597.6418 | ETA 2.65h
I 47500 | L 0.9799 | P 2.644e+00 | Lt 0.9936 | Pt 2.680e+00 | H 635.6130 | ETA 2.52h
I 50000 | L 0.9740 | P 2.629e+00 | Lt 0.9873 | Pt 2.664e+00 | H 685.2019 | ETA 2.40h
I 52500 | L 0.9765 | P 2.635e+00 | Lt 0.9888 | Pt 2.668e+00 | H 714.6190 | ETA 2.28h
I 55000 | L 0.9716 | P 2.622e+00 | Lt 0.9860 | Pt 2.660e+00 | H 758.3099 | ETA 2.15h
I 57500 | L 0.9684 | P 2.614e+00 | Lt 0.9832 | Pt 2.653e+00 | H 781.3906 | ETA 2.03h
I 60000 | L 0.9688 | P 2.615e+00 | Lt 0.9811 | Pt 2.647e+00 | H 820.0164 | ETA 1.91h
I 62500 | L 0.9685 | P 2.614e+00 | Lt 0.9806 | Pt 2.646e+00 | H 859.3846 | ETA 1.79h
I 65000 | L 0.9693 | P 2.616e+00 | Lt 0.9827 | Pt 2.651e+00 | H 906.9066 | ETA 1.67h
I 67500 | L 0.9680 | P 2.613e+00 | Lt 0.9808 | Pt 2.646e+00 | H 942.4301 | ETA 1.55h
I 70000 | L 0.9626 | P 2.599e+00 | Lt 0.9711 | Pt 2.621e+00 | H 986.9553 | ETA 1.43h
I 72500 | L 0.9638 | P 2.602e+00 | Lt 0.9726 | Pt 2.625e+00 | H 1023.9431 | ETA 1.31h
I 75000 | L 0.9623 | P 2.598e+00 | Lt 0.9723 | Pt 2.624e+00 | H 1063.8926 | ETA 1.19h
I 77500 | L 0.9635 | P 2.601e+00 | Lt 0.9725 | Pt 2.625e+00 | H 1102.2048 | ETA 1.07h
I 80000 | L 0.9602 | P 2.593e+00 | Lt 0.9719 | Pt 2.623e+00 | H 1141.1361 | ETA 0.95h
I 82500 | L 0.9588 | P 2.589e+00 | Lt 0.9700 | Pt 2.618e+00 | H 1179.5727 | ETA 0.83h
I 85000 | L 0.9575 | P 2.586e+00 | Lt 0.9692 | Pt 2.616e+00 | H 1241.3728 | ETA 0.71h
I 87500 | L 0.9589 | P 2.590e+00 | Lt 0.9660 | Pt 2.608e+00 | H 1270.7940 | ETA 0.59h
I 90000 | L 0.9580 | P 2.587e+00 | Lt 0.9691 | Pt 2.616e+00 | H 1325.8744 | ETA 0.47h
I 92500 | L 0.9538 | P 2.576e+00 | Lt 0.9702 | Pt 2.619e+00 | H 1372.9006 | ETA 0.36h
I 95000 | L 0.9553 | P 2.580e+00 | Lt 0.9657 | Pt 2.607e+00 | H 1418.7826 | ETA 0.24h
I 97500 | L 0.9557 | P 2.581e+00 | Lt 0.9651 | Pt 2.606e+00 | H 1460.7244 | ETA 0.12h
I 100000 | L 0.9573 | P 2.585e+00 | Lt 0.9636 | Pt 2.602e+00 | H 1497.7565 | ETA 0.00h
I 100001 | L 0.9573 | P 2.585e+00 | Lt 0.9636 | Pt 2.602e+00
Finished training!
