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: 1293549568.0
cola_params: 32241480
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: 6
neurons: 0
non_emb_flops: 1280966656.0
non_emb_params: 31913800
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_l6-dm1024-de-1-h-1-dh64-ttr1-002929
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_002929
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_l6-dm1024-de-1-h-1-dh64-ttr1-002929
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2092 | P 3.319e+00 | Lt 1.2254 | Pt 3.373e+00 | H 3.7164 | ETA 7.71h
I 5000 | L 1.1308 | P 3.071e+00 | Lt 1.1505 | Pt 3.132e+00 | H 8.0660 | ETA 7.53h
I 7500 | L 1.0972 | P 2.971e+00 | Lt 1.1198 | Pt 3.038e+00 | H 12.1818 | ETA 7.34h
I 10000 | L 1.0850 | P 2.935e+00 | Lt 1.0960 | Pt 2.967e+00 | H 15.8495 | ETA 7.15h
I 12500 | L 1.0672 | P 2.883e+00 | Lt 1.0833 | Pt 2.930e+00 | H 19.7300 | ETA 6.96h
I 15000 | L 1.0582 | P 2.858e+00 | Lt 1.0780 | Pt 2.914e+00 | H 23.2610 | ETA 6.76h
I 17500 | L 1.0511 | P 2.838e+00 | Lt 1.0682 | Pt 2.886e+00 | H 27.1827 | ETA 6.57h
I 20000 | L 1.0426 | P 2.814e+00 | Lt 1.0639 | Pt 2.874e+00 | H 30.8981 | ETA 6.37h
I 22500 | L 1.0401 | P 2.807e+00 | Lt 1.0535 | Pt 2.844e+00 | H 34.6036 | ETA 6.17h
I 25000 | L 1.0320 | P 2.784e+00 | Lt 1.0497 | Pt 2.834e+00 | H 37.6851 | ETA 5.97h
I 27500 | L 1.0287 | P 2.775e+00 | Lt 1.0507 | Pt 2.837e+00 | H 41.6115 | ETA 5.77h
I 30000 | L 1.0260 | P 2.768e+00 | Lt 1.0416 | Pt 2.811e+00 | H 44.9855 | ETA 5.57h
I 32500 | L 1.0227 | P 2.759e+00 | Lt 1.0388 | Pt 2.803e+00 | H 48.4947 | ETA 5.38h
I 35000 | L 1.0206 | P 2.753e+00 | Lt 1.0375 | Pt 2.800e+00 | H 51.6005 | ETA 5.18h
I 37500 | L 1.0156 | P 2.739e+00 | Lt 1.0322 | Pt 2.785e+00 | H 56.0727 | ETA 4.98h
I 40000 | L 1.0163 | P 2.741e+00 | Lt 1.0316 | Pt 2.783e+00 | H 59.3894 | ETA 4.78h
I 42500 | L 1.0150 | P 2.738e+00 | Lt 1.0283 | Pt 2.774e+00 | H 63.2765 | ETA 4.58h
I 45000 | L 1.0108 | P 2.726e+00 | Lt 1.0274 | Pt 2.772e+00 | H 66.9401 | ETA 4.38h
I 47500 | L 1.0095 | P 2.723e+00 | Lt 1.0246 | Pt 2.764e+00 | H 70.5201 | ETA 4.18h
I 50000 | L 1.0054 | P 2.712e+00 | Lt 1.0255 | Pt 2.767e+00 | H 73.3880 | ETA 3.98h
I 52500 | L 1.0027 | P 2.705e+00 | Lt 1.0268 | Pt 2.770e+00 | H 77.2657 | ETA 3.78h
I 55000 | L 1.0020 | P 2.703e+00 | Lt 1.0190 | Pt 2.749e+00 | H 81.3594 | ETA 3.58h
I 57500 | L 1.0042 | P 2.708e+00 | Lt 1.0182 | Pt 2.746e+00 | H 85.0533 | ETA 3.38h
I 60000 | L 1.0020 | P 2.703e+00 | Lt 1.0158 | Pt 2.740e+00 | H 90.9246 | ETA 3.18h
I 62500 | L 1.0022 | P 2.703e+00 | Lt 1.0126 | Pt 2.731e+00 | H 93.0075 | ETA 2.99h
I 65000 | L 1.0022 | P 2.703e+00 | Lt 1.0113 | Pt 2.728e+00 | H 97.3773 | ETA 2.79h
I 67500 | L 1.0007 | P 2.699e+00 | Lt 1.0109 | Pt 2.727e+00 | H 100.2092 | ETA 2.59h
I 70000 | L 0.9964 | P 2.688e+00 | Lt 1.0092 | Pt 2.722e+00 | H 104.9264 | ETA 2.39h
I 72500 | L 0.9967 | P 2.688e+00 | Lt 1.0142 | Pt 2.736e+00 | H 109.2706 | ETA 2.19h
I 75000 | L 0.9943 | P 2.682e+00 | Lt 1.0107 | Pt 2.726e+00 | H 112.8648 | ETA 1.99h
I 77500 | L 0.9928 | P 2.678e+00 | Lt 1.0061 | Pt 2.714e+00 | H 116.4194 | ETA 1.79h
I 80000 | L 0.9924 | P 2.677e+00 | Lt 1.0086 | Pt 2.720e+00 | H 121.2461 | ETA 1.59h
I 82500 | L 0.9964 | P 2.688e+00 | Lt 1.0067 | Pt 2.715e+00 | H 124.1403 | ETA 1.39h
I 85000 | L 0.9879 | P 2.665e+00 | Lt 1.0030 | Pt 2.705e+00 | H 129.7960 | ETA 1.19h
I 87500 | L 0.9897 | P 2.670e+00 | Lt 1.0085 | Pt 2.720e+00 | H 133.7633 | ETA 1.00h
I 90000 | L 0.9916 | P 2.675e+00 | Lt 1.0028 | Pt 2.705e+00 | H 136.6624 | ETA 0.80h
I 92500 | L 0.9901 | P 2.671e+00 | Lt 1.0028 | Pt 2.705e+00 | H 142.5437 | ETA 0.60h
I 95000 | L 0.9907 | P 2.672e+00 | Lt 1.0023 | Pt 2.703e+00 | H 146.8151 | ETA 0.40h
I 97500 | L 0.9867 | P 2.662e+00 | Lt 1.0036 | Pt 2.707e+00 | H 151.6809 | ETA 0.20h
I 100000 | L 0.9858 | P 2.660e+00 | Lt 0.9979 | Pt 2.692e+00 | H 153.8605 | ETA 0.00h
I 100001 | L 0.9858 | P 2.660e+00 | Lt 0.9979 | Pt 2.692e+00
Finished training!
