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: 5377359872.0
cola_params: 143580396
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 2048
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: 458752
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: 196608
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: 5352194048.0
non_emb_params: 142925036
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 8
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e8_k2_ffe1k2_all_but_last_l9-dm2048-de-1-h-1-dh64-ttr1-190938
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_190938
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_e8_k2_ffe1k2_all_but_last_l9-dm2048-de-1-h-1-dh64-ttr1-190938
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1809 | P 3.228e+00 | Lt 1.1964 | Pt 3.278e+00 | H 3.9331 | ETA 13.21h
I 5000 | L 1.0919 | P 2.955e+00 | Lt 1.1159 | Pt 3.026e+00 | H 9.0650 | ETA 12.95h
I 7500 | L 1.0613 | P 2.866e+00 | Lt 1.0770 | Pt 2.911e+00 | H 14.4794 | ETA 12.65h
I 10000 | L 1.0406 | P 2.808e+00 | Lt 1.0607 | Pt 2.865e+00 | H 20.2589 | ETA 12.33h
I 12500 | L 1.0273 | P 2.771e+00 | Lt 1.0446 | Pt 2.819e+00 | H 25.3840 | ETA 11.99h
I 15000 | L 1.0191 | P 2.749e+00 | Lt 1.0309 | Pt 2.781e+00 | H 30.8497 | ETA 11.66h
I 17500 | L 1.0048 | P 2.710e+00 | Lt 1.0243 | Pt 2.763e+00 | H 36.2498 | ETA 11.31h
I 20000 | L 0.9974 | P 2.690e+00 | Lt 1.0191 | Pt 2.749e+00 | H 41.0604 | ETA 10.97h
I 22500 | L 0.9945 | P 2.683e+00 | Lt 1.0093 | Pt 2.722e+00 | H 47.4399 | ETA 10.63h
I 25000 | L 0.9907 | P 2.672e+00 | Lt 1.0010 | Pt 2.700e+00 | H 53.4872 | ETA 10.30h
I 27500 | L 0.9829 | P 2.652e+00 | Lt 1.0020 | Pt 2.703e+00 | H 58.1063 | ETA 9.96h
I 30000 | L 0.9848 | P 2.657e+00 | Lt 0.9988 | Pt 2.694e+00 | H 64.5616 | ETA 9.62h
I 32500 | L 0.9787 | P 2.641e+00 | Lt 0.9903 | Pt 2.671e+00 | H 70.0844 | ETA 9.27h
I 35000 | L 0.9719 | P 2.623e+00 | Lt 0.9847 | Pt 2.657e+00 | H 76.1444 | ETA 8.92h
I 37500 | L 0.9730 | P 2.626e+00 | Lt 0.9824 | Pt 2.651e+00 | H 81.7187 | ETA 8.58h
I 40000 | L 0.9674 | P 2.611e+00 | Lt 0.9786 | Pt 2.641e+00 | H 88.7568 | ETA 8.23h
I 42500 | L 0.9658 | P 2.607e+00 | Lt 0.9811 | Pt 2.647e+00 | H 94.0429 | ETA 7.89h
I 45000 | L 0.9629 | P 2.600e+00 | Lt 0.9745 | Pt 2.630e+00 | H 99.0307 | ETA 7.55h
I 47500 | L 0.9630 | P 2.600e+00 | Lt 0.9734 | Pt 2.627e+00 | H 106.2603 | ETA 7.21h
I 50000 | L 0.9624 | P 2.599e+00 | Lt 0.9720 | Pt 2.623e+00 | H 111.1140 | ETA 6.86h
I 52500 | L 0.9596 | P 2.591e+00 | Lt 0.9680 | Pt 2.613e+00 | H 116.1945 | ETA 6.52h
I 55000 | L 0.9575 | P 2.586e+00 | Lt 0.9668 | Pt 2.610e+00 | H 123.4806 | ETA 6.18h
I 57500 | L 0.9543 | P 2.578e+00 | Lt 0.9687 | Pt 2.615e+00 | H 129.6311 | ETA 5.83h
I 60000 | L 0.9534 | P 2.575e+00 | Lt 0.9654 | Pt 2.606e+00 | H 136.1130 | ETA 5.49h
I 62500 | L 0.9525 | P 2.573e+00 | Lt 0.9645 | Pt 2.604e+00 | H 143.3777 | ETA 5.15h
I 65000 | L 0.9503 | P 2.567e+00 | Lt 0.9624 | Pt 2.599e+00 | H 149.8814 | ETA 4.81h
I 67500 | L 0.9521 | P 2.572e+00 | Lt 0.9612 | Pt 2.595e+00 | H 156.9176 | ETA 4.46h
I 70000 | L 0.9485 | P 2.563e+00 | Lt 0.9565 | Pt 2.583e+00 | H 164.2923 | ETA 4.12h
I 72500 | L 0.9486 | P 2.563e+00 | Lt 0.9554 | Pt 2.580e+00 | H 169.1869 | ETA 3.78h
I 75000 | L 0.9446 | P 2.553e+00 | Lt 0.9531 | Pt 2.575e+00 | H 175.5628 | ETA 3.43h
I 77500 | L 0.9443 | P 2.552e+00 | Lt 0.9529 | Pt 2.574e+00 | H 182.4475 | ETA 3.09h
I 80000 | L 0.9419 | P 2.546e+00 | Lt 0.9514 | Pt 2.570e+00 | H 189.4317 | ETA 2.75h
I 82500 | L 0.9423 | P 2.547e+00 | Lt 0.9526 | Pt 2.573e+00 | H 197.6036 | ETA 2.40h
I 85000 | L 0.9416 | P 2.545e+00 | Lt 0.9486 | Pt 2.563e+00 | H 202.6214 | ETA 2.06h
I 87500 | L 0.9428 | P 2.548e+00 | Lt 0.9486 | Pt 2.563e+00 | H 210.0420 | ETA 1.72h
I 90000 | L 0.9381 | P 2.537e+00 | Lt 0.9480 | Pt 2.562e+00 | H 217.6593 | ETA 1.37h
I 92500 | L 0.9386 | P 2.538e+00 | Lt 0.9451 | Pt 2.554e+00 | H 226.0266 | ETA 1.03h
I 95000 | L 0.9389 | P 2.539e+00 | Lt 0.9474 | Pt 2.560e+00 | H 230.4072 | ETA 0.69h
I 97500 | L 0.9353 | P 2.530e+00 | Lt 0.9462 | Pt 2.557e+00 | H 239.9777 | ETA 0.34h
I 100000 | L 0.9351 | P 2.529e+00 | Lt 0.9408 | Pt 2.543e+00 | H 244.3441 | ETA 0.00h
I 100001 | L 0.9351 | P 2.529e+00 | Lt 0.9408 | Pt 2.543e+00
Finished training!
