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: 282017792
cola_params: 13031808
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 128
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: 28672
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: 12288
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: 280444928
non_emb_params: 12990848
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_l6-dm128-de-1-h-1-dh64-ttr1-173112
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173112
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: dense_e0_k2_ffe16k2_all_but_last_l6-dm128-de-1-h-1-dh64-ttr1-173112
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2481 | P 3.450e+00 | Lt 1.2669 | Pt 3.515e+00 | H 66.8848 | ETA 6.60h
I 5000 | L 1.1807 | P 3.227e+00 | Lt 1.2025 | Pt 3.298e+00 | H 193.2321 | ETA 6.41h
I 7500 | L 1.1527 | P 3.139e+00 | Lt 1.1736 | Pt 3.204e+00 | H 289.8197 | ETA 6.22h
I 10000 | L 1.1404 | P 3.100e+00 | Lt 1.1561 | Pt 3.149e+00 | H 372.6634 | ETA 6.05h
I 12500 | L 1.1244 | P 3.052e+00 | Lt 1.1461 | Pt 3.118e+00 | H 446.7088 | ETA 5.87h
I 15000 | L 1.1197 | P 3.037e+00 | Lt 1.1411 | Pt 3.103e+00 | H 515.0208 | ETA 5.72h
I 17500 | L 1.1135 | P 3.019e+00 | Lt 1.1315 | Pt 3.073e+00 | H 588.3773 | ETA 5.57h
I 20000 | L 1.1091 | P 3.006e+00 | Lt 1.1244 | Pt 3.052e+00 | H 642.5419 | ETA 5.42h
I 22500 | L 1.0995 | P 2.977e+00 | Lt 1.1254 | Pt 3.055e+00 | H 706.3792 | ETA 5.26h
I 25000 | L 1.0999 | P 2.978e+00 | Lt 1.1178 | Pt 3.032e+00 | H 759.8778 | ETA 5.08h
I 27500 | L 1.0957 | P 2.966e+00 | Lt 1.1156 | Pt 3.025e+00 | H 812.3315 | ETA 4.90h
I 30000 | L 1.0925 | P 2.957e+00 | Lt 1.1103 | Pt 3.009e+00 | H 863.9225 | ETA 4.73h
I 32500 | L 1.0890 | P 2.946e+00 | Lt 1.1060 | Pt 2.996e+00 | H 932.9897 | ETA 4.56h
I 35000 | L 1.0889 | P 2.946e+00 | Lt 1.1044 | Pt 2.992e+00 | H 982.0319 | ETA 4.39h
I 37500 | L 1.0887 | P 2.945e+00 | Lt 1.1055 | Pt 2.995e+00 | H 1049.9719 | ETA 4.21h
I 40000 | L 1.0801 | P 2.921e+00 | Lt 1.1015 | Pt 2.983e+00 | H 1103.5145 | ETA 4.04h
I 42500 | L 1.0837 | P 2.931e+00 | Lt 1.0994 | Pt 2.977e+00 | H 1164.3882 | ETA 3.87h
I 45000 | L 1.0806 | P 2.922e+00 | Lt 1.0932 | Pt 2.959e+00 | H 1223.6755 | ETA 3.69h
I 47500 | L 1.0806 | P 2.922e+00 | Lt 1.0963 | Pt 2.968e+00 | H 1277.5822 | ETA 3.52h
I 50000 | L 1.0787 | P 2.916e+00 | Lt 1.0947 | Pt 2.963e+00 | H 1337.7777 | ETA 3.35h
I 52500 | L 1.0756 | P 2.907e+00 | Lt 1.0946 | Pt 2.963e+00 | H 1420.8497 | ETA 3.18h
I 55000 | L 1.0773 | P 2.912e+00 | Lt 1.0912 | Pt 2.953e+00 | H 1480.0054 | ETA 3.01h
I 57500 | L 1.0743 | P 2.904e+00 | Lt 1.0905 | Pt 2.951e+00 | H 1545.2196 | ETA 2.84h
I 60000 | L 1.0751 | P 2.906e+00 | Lt 1.0887 | Pt 2.946e+00 | H 1605.8798 | ETA 2.67h
I 62500 | L 1.0716 | P 2.896e+00 | Lt 1.0914 | Pt 2.953e+00 | H 1674.7705 | ETA 2.51h
I 65000 | L 1.0707 | P 2.893e+00 | Lt 1.0895 | Pt 2.948e+00 | H 1731.0596 | ETA 2.34h
I 67500 | L 1.0696 | P 2.890e+00 | Lt 1.0842 | Pt 2.932e+00 | H 1800.1244 | ETA 2.17h
I 70000 | L 1.0672 | P 2.883e+00 | Lt 1.0841 | Pt 2.932e+00 | H 1855.3642 | ETA 2.00h
I 72500 | L 1.0646 | P 2.876e+00 | Lt 1.0876 | Pt 2.942e+00 | H 1919.0973 | ETA 1.84h
I 75000 | L 1.0652 | P 2.878e+00 | Lt 1.0782 | Pt 2.915e+00 | H 1997.5473 | ETA 1.67h
I 77500 | L 1.0645 | P 2.875e+00 | Lt 1.0834 | Pt 2.930e+00 | H 2086.3886 | ETA 1.50h
I 80000 | L 1.0636 | P 2.873e+00 | Lt 1.0802 | Pt 2.921e+00 | H 2147.8548 | ETA 1.34h
I 82500 | L 1.0662 | P 2.880e+00 | Lt 1.0842 | Pt 2.932e+00 | H 2197.5703 | ETA 1.17h
I 85000 | L 1.0645 | P 2.875e+00 | Lt 1.0791 | Pt 2.917e+00 | H 2290.6547 | ETA 1.00h
I 87500 | L 1.0616 | P 2.867e+00 | Lt 1.0805 | Pt 2.922e+00 | H 2330.5360 | ETA 0.83h
I 90000 | L 1.0611 | P 2.866e+00 | Lt 1.0821 | Pt 2.926e+00 | H 2430.8611 | ETA 0.67h
I 92500 | L 1.0625 | P 2.870e+00 | Lt 1.0782 | Pt 2.915e+00 | H 2511.1464 | ETA 0.50h
I 95000 | L 1.0577 | P 2.856e+00 | Lt 1.0782 | Pt 2.915e+00 | H 2564.5638 | ETA 0.33h
I 97500 | L 1.0602 | P 2.863e+00 | Lt 1.0748 | Pt 2.905e+00 | H 2610.3448 | ETA 0.17h
I 100000 | L 1.0622 | P 2.869e+00 | Lt 1.0771 | Pt 2.912e+00 | H 2709.9510 | ETA 0.00h
I 100001 | L 1.0622 | P 2.869e+00 | Lt 1.0771 | Pt 2.912e+00
Finished training!
