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: 2077294592
cola_params: 104001408
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_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: 2071003136
non_emb_params: 103837568
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 16
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe16k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191606
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-14_191606
total_tokens: 6017506009
tt_dim: 2
tt_rank: 1
val: moe_gpt
vocab_size: 96
wandb_log: True
wandb_project: moe_gpt
wandb_run_name: dense_e0_k2_ffe16k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191606
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1878 | P 3.250e+00 | Lt 1.2060 | Pt 3.309e+00 | H 34.7496 | ETA 3.25h
I 5000 | L 1.1151 | P 3.024e+00 | Lt 1.1378 | Pt 3.093e+00 | H 76.1198 | ETA 3.21h
I 7500 | L 1.0897 | P 2.948e+00 | Lt 1.1045 | Pt 2.992e+00 | H 105.6894 | ETA 3.17h
I 10000 | L 1.0683 | P 2.886e+00 | Lt 1.0887 | Pt 2.945e+00 | H 132.9573 | ETA 3.10h
I 12500 | L 1.0520 | P 2.840e+00 | Lt 1.0763 | Pt 2.909e+00 | H 152.4458 | ETA 3.03h
I 15000 | L 1.0483 | P 2.830e+00 | Lt 1.0651 | Pt 2.877e+00 | H 179.7246 | ETA 2.95h
I 17500 | L 1.0418 | P 2.812e+00 | Lt 1.0587 | Pt 2.859e+00 | H 197.3424 | ETA 2.86h
I 20000 | L 1.0363 | P 2.796e+00 | Lt 1.0518 | Pt 2.839e+00 | H 219.3301 | ETA 2.79h
I 22500 | L 1.0315 | P 2.783e+00 | Lt 1.0422 | Pt 2.813e+00 | H 235.6694 | ETA 2.70h
I 25000 | L 1.0258 | P 2.767e+00 | Lt 1.0424 | Pt 2.813e+00 | H 258.5796 | ETA 2.62h
I 27500 | L 1.0199 | P 2.751e+00 | Lt 1.0370 | Pt 2.798e+00 | H 276.3960 | ETA 2.54h
I 30000 | L 1.0162 | P 2.741e+00 | Lt 1.0326 | Pt 2.786e+00 | H 291.8931 | ETA 2.47h
I 32500 | L 1.0143 | P 2.736e+00 | Lt 1.0254 | Pt 2.766e+00 | H 312.6749 | ETA 2.38h
I 35000 | L 1.0117 | P 2.729e+00 | Lt 1.0264 | Pt 2.769e+00 | H 337.9216 | ETA 2.30h
I 37500 | L 1.0075 | P 2.717e+00 | Lt 1.0259 | Pt 2.767e+00 | H 354.9860 | ETA 2.21h
I 40000 | L 1.0054 | P 2.712e+00 | Lt 1.0210 | Pt 2.754e+00 | H 373.8640 | ETA 2.12h
I 42500 | L 1.0056 | P 2.712e+00 | Lt 1.0207 | Pt 2.753e+00 | H 395.8230 | ETA 2.04h
I 45000 | L 1.0033 | P 2.706e+00 | Lt 1.0155 | Pt 2.739e+00 | H 410.3546 | ETA 1.94h
I 47500 | L 0.9993 | P 2.695e+00 | Lt 1.0135 | Pt 2.734e+00 | H 433.2837 | ETA 1.85h
I 50000 | L 0.9965 | P 2.688e+00 | Lt 1.0109 | Pt 2.727e+00 | H 451.5530 | ETA 1.76h
I 52500 | L 0.9965 | P 2.688e+00 | Lt 1.0121 | Pt 2.730e+00 | H 471.8553 | ETA 1.68h
I 55000 | L 0.9963 | P 2.687e+00 | Lt 1.0107 | Pt 2.726e+00 | H 483.4252 | ETA 1.58h
I 57500 | L 0.9911 | P 2.674e+00 | Lt 1.0064 | Pt 2.714e+00 | H 514.2832 | ETA 1.49h
I 60000 | L 0.9947 | P 2.683e+00 | Lt 1.0058 | Pt 2.713e+00 | H 540.0102 | ETA 1.40h
I 62500 | L 0.9889 | P 2.668e+00 | Lt 1.0042 | Pt 2.709e+00 | H 568.9864 | ETA 1.31h
I 65000 | L 0.9910 | P 2.673e+00 | Lt 1.0027 | Pt 2.704e+00 | H 580.4118 | ETA 1.23h
I 67500 | L 0.9875 | P 2.664e+00 | Lt 1.0016 | Pt 2.701e+00 | H 596.5500 | ETA 1.14h
I 70000 | L 0.9915 | P 2.675e+00 | Lt 1.0014 | Pt 2.701e+00 | H 623.8839 | ETA 1.05h
I 72500 | L 0.9879 | P 2.665e+00 | Lt 0.9991 | Pt 2.695e+00 | H 642.8563 | ETA 0.96h
I 75000 | L 0.9834 | P 2.653e+00 | Lt 0.9997 | Pt 2.696e+00 | H 658.2905 | ETA 0.87h
I 77500 | L 0.9885 | P 2.667e+00 | Lt 0.9905 | Pt 2.672e+00 | H 685.8334 | ETA 0.79h
I 80000 | L 0.9853 | P 2.658e+00 | Lt 0.9935 | Pt 2.680e+00 | H 710.3138 | ETA 0.70h
I 82500 | L 0.9830 | P 2.652e+00 | Lt 0.9968 | Pt 2.689e+00 | H 722.0204 | ETA 0.61h
I 85000 | L 0.9816 | P 2.649e+00 | Lt 0.9934 | Pt 2.680e+00 | H 751.9874 | ETA 0.52h
I 87500 | L 0.9820 | P 2.650e+00 | Lt 0.9961 | Pt 2.687e+00 | H 767.7589 | ETA 0.44h
I 90000 | L 0.9794 | P 2.643e+00 | Lt 0.9925 | Pt 2.677e+00 | H 794.8884 | ETA 0.35h
I 92500 | L 0.9813 | P 2.648e+00 | Lt 0.9932 | Pt 2.679e+00 | H 800.6507 | ETA 0.26h
I 95000 | L 0.9776 | P 2.638e+00 | Lt 0.9876 | Pt 2.664e+00 | H 837.1582 | ETA 0.17h
I 97500 | L 0.9772 | P 2.637e+00 | Lt 0.9900 | Pt 2.671e+00 | H 857.9679 | ETA 0.09h
I 100000 | L 0.9789 | P 2.642e+00 | Lt 0.9911 | Pt 2.674e+00 | H 883.2519 | ETA 0.00h
I 100001 | L 0.9789 | P 2.642e+00 | Lt 0.9911 | Pt 2.674e+00
Finished training!
