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: 639238144.0
cola_params: 8310180
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 1024
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: 229376
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: 98304
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: 626655232.0
non_emb_params: 7982500
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_l3-dm1024-de-1-h-1-dh64-ttr1-000745
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_000745
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_l3-dm1024-de-1-h-1-dh64-ttr1-000745
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2557 | P 3.476e+00 | Lt 1.2749 | Pt 3.543e+00 | H 5.5349 | ETA 3.09h
I 5000 | L 1.1859 | P 3.244e+00 | Lt 1.2053 | Pt 3.307e+00 | H 11.9407 | ETA 3.02h
I 7500 | L 1.1591 | P 3.159e+00 | Lt 1.1800 | Pt 3.225e+00 | H 17.4132 | ETA 2.95h
I 10000 | L 1.1428 | P 3.108e+00 | Lt 1.1597 | Pt 3.160e+00 | H 23.1196 | ETA 2.86h
I 12500 | L 1.1297 | P 3.068e+00 | Lt 1.1501 | Pt 3.131e+00 | H 28.2634 | ETA 2.78h
I 15000 | L 1.1217 | P 3.044e+00 | Lt 1.1453 | Pt 3.115e+00 | H 33.8061 | ETA 2.70h
I 17500 | L 1.1192 | P 3.036e+00 | Lt 1.1389 | Pt 3.096e+00 | H 38.5774 | ETA 2.63h
I 20000 | L 1.1076 | P 3.001e+00 | Lt 1.1312 | Pt 3.072e+00 | H 43.5224 | ETA 2.55h
I 22500 | L 1.1072 | P 3.000e+00 | Lt 1.1281 | Pt 3.063e+00 | H 48.9473 | ETA 2.47h
I 25000 | L 1.1039 | P 2.990e+00 | Lt 1.1187 | Pt 3.035e+00 | H 53.1305 | ETA 2.39h
I 27500 | L 1.1014 | P 2.983e+00 | Lt 1.1176 | Pt 3.031e+00 | H 58.5957 | ETA 2.31h
I 30000 | L 1.1008 | P 2.981e+00 | Lt 1.1173 | Pt 3.030e+00 | H 63.4449 | ETA 2.23h
I 32500 | L 1.0926 | P 2.957e+00 | Lt 1.1130 | Pt 3.017e+00 | H 69.6561 | ETA 2.15h
I 35000 | L 1.0955 | P 2.965e+00 | Lt 1.1108 | Pt 3.011e+00 | H 72.9908 | ETA 2.08h
I 37500 | L 1.0942 | P 2.962e+00 | Lt 1.1085 | Pt 3.004e+00 | H 79.1788 | ETA 2.00h
I 40000 | L 1.0890 | P 2.946e+00 | Lt 1.1069 | Pt 2.999e+00 | H 83.8715 | ETA 1.92h
I 42500 | L 1.0859 | P 2.937e+00 | Lt 1.1034 | Pt 2.989e+00 | H 88.2660 | ETA 1.84h
I 45000 | L 1.0844 | P 2.933e+00 | Lt 1.1057 | Pt 2.996e+00 | H 93.3144 | ETA 1.76h
I 47500 | L 1.0844 | P 2.933e+00 | Lt 1.1006 | Pt 2.980e+00 | H 100.0755 | ETA 1.68h
I 50000 | L 1.0855 | P 2.936e+00 | Lt 1.1020 | Pt 2.985e+00 | H 105.3715 | ETA 1.60h
I 52500 | L 1.0815 | P 2.924e+00 | Lt 1.0968 | Pt 2.969e+00 | H 109.3664 | ETA 1.52h
I 55000 | L 1.0784 | P 2.916e+00 | Lt 1.0984 | Pt 2.974e+00 | H 114.3244 | ETA 1.44h
I 57500 | L 1.0789 | P 2.917e+00 | Lt 1.0981 | Pt 2.973e+00 | H 118.4583 | ETA 1.36h
I 60000 | L 1.0761 | P 2.909e+00 | Lt 1.0944 | Pt 2.962e+00 | H 124.2455 | ETA 1.28h
I 62500 | L 1.0741 | P 2.903e+00 | Lt 1.0944 | Pt 2.962e+00 | H 128.5732 | ETA 1.20h
I 65000 | L 1.0763 | P 2.909e+00 | Lt 1.0899 | Pt 2.949e+00 | H 136.0357 | ETA 1.12h
I 67500 | L 1.0760 | P 2.908e+00 | Lt 1.0930 | Pt 2.958e+00 | H 140.0012 | ETA 1.04h
I 70000 | L 1.0748 | P 2.905e+00 | Lt 1.0929 | Pt 2.958e+00 | H 146.4992 | ETA 0.96h
I 72500 | L 1.0724 | P 2.898e+00 | Lt 1.0949 | Pt 2.964e+00 | H 151.1556 | ETA 0.88h
I 75000 | L 1.0730 | P 2.900e+00 | Lt 1.0899 | Pt 2.949e+00 | H 155.5445 | ETA 0.80h
I 77500 | L 1.0748 | P 2.905e+00 | Lt 1.0874 | Pt 2.942e+00 | H 162.1373 | ETA 0.72h
I 80000 | L 1.0687 | P 2.888e+00 | Lt 1.0885 | Pt 2.945e+00 | H 166.6073 | ETA 0.64h
I 82500 | L 1.0689 | P 2.888e+00 | Lt 1.0880 | Pt 2.943e+00 | H 172.2267 | ETA 0.56h
I 85000 | L 1.0699 | P 2.891e+00 | Lt 1.0873 | Pt 2.941e+00 | H 177.8034 | ETA 0.48h
I 87500 | L 1.0660 | P 2.880e+00 | Lt 1.0851 | Pt 2.935e+00 | H 183.9370 | ETA 0.40h
I 90000 | L 1.0683 | P 2.887e+00 | Lt 1.0860 | Pt 2.938e+00 | H 188.5212 | ETA 0.32h
I 92500 | L 1.0646 | P 2.876e+00 | Lt 1.0861 | Pt 2.938e+00 | H 195.4657 | ETA 0.24h
I 95000 | L 1.0676 | P 2.884e+00 | Lt 1.0863 | Pt 2.938e+00 | H 199.9550 | ETA 0.16h
I 97500 | L 1.0688 | P 2.888e+00 | Lt 1.0802 | Pt 2.921e+00 | H 208.4714 | ETA 0.08h
I 100000 | L 1.0641 | P 2.874e+00 | Lt 1.0810 | Pt 2.923e+00 | H 210.0204 | ETA 0.00h
I 100001 | L 1.0641 | P 2.874e+00 | Lt 1.0810 | Pt 2.923e+00
Finished training!
