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: 1265238016.0
cola_params: 16291656
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: 1252655104.0
non_emb_params: 15963976
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_l6-dm1024-de-1-h-1-dh64-ttr1-002921
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_002921
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_l6-dm1024-de-1-h-1-dh64-ttr1-002921
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2231 | P 3.366e+00 | Lt 1.2429 | Pt 3.432e+00 | H 3.9386 | ETA 6.16h
I 5000 | L 1.1484 | P 3.125e+00 | Lt 1.1703 | Pt 3.194e+00 | H 8.1148 | ETA 6.02h
I 7500 | L 1.1180 | P 3.032e+00 | Lt 1.1347 | Pt 3.083e+00 | H 12.2834 | ETA 5.86h
I 10000 | L 1.1009 | P 2.981e+00 | Lt 1.1194 | Pt 3.037e+00 | H 16.3841 | ETA 5.69h
I 12500 | L 1.0873 | P 2.941e+00 | Lt 1.1099 | Pt 3.008e+00 | H 20.4446 | ETA 5.53h
I 15000 | L 1.0767 | P 2.911e+00 | Lt 1.0995 | Pt 2.977e+00 | H 24.5734 | ETA 5.36h
I 17500 | L 1.0688 | P 2.888e+00 | Lt 1.0865 | Pt 2.939e+00 | H 28.4653 | ETA 5.21h
I 20000 | L 1.0678 | P 2.885e+00 | Lt 1.0822 | Pt 2.927e+00 | H 32.4119 | ETA 5.05h
I 22500 | L 1.0623 | P 2.869e+00 | Lt 1.0757 | Pt 2.908e+00 | H 36.1329 | ETA 4.90h
I 25000 | L 1.0583 | P 2.858e+00 | Lt 1.0730 | Pt 2.900e+00 | H 40.4630 | ETA 4.74h
I 27500 | L 1.0566 | P 2.853e+00 | Lt 1.0691 | Pt 2.889e+00 | H 44.6602 | ETA 4.58h
I 30000 | L 1.0515 | P 2.839e+00 | Lt 1.0668 | Pt 2.882e+00 | H 48.1787 | ETA 4.44h
I 32500 | L 1.0472 | P 2.827e+00 | Lt 1.0618 | Pt 2.868e+00 | H 51.6183 | ETA 4.28h
I 35000 | L 1.0447 | P 2.820e+00 | Lt 1.0639 | Pt 2.874e+00 | H 56.1568 | ETA 4.13h
I 37500 | L 1.0415 | P 2.811e+00 | Lt 1.0605 | Pt 2.864e+00 | H 59.7718 | ETA 3.98h
I 40000 | L 1.0406 | P 2.808e+00 | Lt 1.0579 | Pt 2.857e+00 | H 64.0672 | ETA 3.82h
I 42500 | L 1.0375 | P 2.800e+00 | Lt 1.0521 | Pt 2.840e+00 | H 68.6705 | ETA 3.66h
I 45000 | L 1.0328 | P 2.786e+00 | Lt 1.0544 | Pt 2.847e+00 | H 71.2670 | ETA 3.50h
I 47500 | L 1.0367 | P 2.797e+00 | Lt 1.0484 | Pt 2.830e+00 | H 75.6490 | ETA 3.34h
I 50000 | L 1.0292 | P 2.777e+00 | Lt 1.0501 | Pt 2.835e+00 | H 80.3737 | ETA 3.18h
I 52500 | L 1.0267 | P 2.770e+00 | Lt 1.0488 | Pt 2.831e+00 | H 84.5747 | ETA 3.02h
I 55000 | L 1.0306 | P 2.780e+00 | Lt 1.0431 | Pt 2.815e+00 | H 88.8692 | ETA 2.86h
I 57500 | L 1.0282 | P 2.774e+00 | Lt 1.0456 | Pt 2.822e+00 | H 93.4141 | ETA 2.70h
I 60000 | L 1.0264 | P 2.769e+00 | Lt 1.0417 | Pt 2.811e+00 | H 97.7070 | ETA 2.54h
I 62500 | L 1.0253 | P 2.766e+00 | Lt 1.0404 | Pt 2.808e+00 | H 101.9486 | ETA 2.38h
I 65000 | L 1.0233 | P 2.760e+00 | Lt 1.0390 | Pt 2.804e+00 | H 106.6979 | ETA 2.22h
I 67500 | L 1.0246 | P 2.764e+00 | Lt 1.0414 | Pt 2.810e+00 | H 110.7147 | ETA 2.06h
I 70000 | L 1.0247 | P 2.764e+00 | Lt 1.0382 | Pt 2.802e+00 | H 114.7476 | ETA 1.90h
I 72500 | L 1.0236 | P 2.761e+00 | Lt 1.0360 | Pt 2.795e+00 | H 119.3455 | ETA 1.75h
I 75000 | L 1.0193 | P 2.750e+00 | Lt 1.0372 | Pt 2.799e+00 | H 123.4981 | ETA 1.59h
I 77500 | L 1.0186 | P 2.748e+00 | Lt 1.0353 | Pt 2.793e+00 | H 127.5919 | ETA 1.43h
I 80000 | L 1.0172 | P 2.744e+00 | Lt 1.0360 | Pt 2.795e+00 | H 132.0103 | ETA 1.27h
I 82500 | L 1.0148 | P 2.737e+00 | Lt 1.0355 | Pt 2.794e+00 | H 137.6524 | ETA 1.11h
I 85000 | L 1.0159 | P 2.740e+00 | Lt 1.0322 | Pt 2.785e+00 | H 143.1859 | ETA 0.95h
I 87500 | L 1.0178 | P 2.745e+00 | Lt 1.0326 | Pt 2.786e+00 | H 148.6794 | ETA 0.79h
I 90000 | L 1.0152 | P 2.738e+00 | Lt 1.0324 | Pt 2.785e+00 | H 152.6361 | ETA 0.63h
I 92500 | L 1.0136 | P 2.734e+00 | Lt 1.0299 | Pt 2.778e+00 | H 158.1287 | ETA 0.48h
I 95000 | L 1.0121 | P 2.730e+00 | Lt 1.0288 | Pt 2.776e+00 | H 161.4208 | ETA 0.32h
I 97500 | L 1.0168 | P 2.743e+00 | Lt 1.0313 | Pt 2.782e+00 | H 166.2596 | ETA 0.16h
I 100000 | L 1.0158 | P 2.740e+00 | Lt 1.0313 | Pt 2.782e+00 | H 172.1288 | ETA 0.00h
I 100001 | L 1.0158 | P 2.740e+00 | Lt 1.0313 | Pt 2.782e+00
Finished training!
