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: 756875264.0
cola_params: 9188076
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_btt_case_proj: (n|d|n|d)
head_btt_case_qkv: (n|d|n|d)
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: 9
neurons: 0
non_emb_flops: 750583808.0
non_emb_params: 9024236
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_l9-dm512-de-1-h-1-dh64-ttr1-010708
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_010708
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_l9-dm512-de-1-h-1-dh64-ttr1-010708
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2441 | P 3.436e+00 | Lt 1.2660 | Pt 3.512e+00 | H 4.2326 | ETA 7.26h
I 5000 | L 1.1737 | P 3.205e+00 | Lt 1.1907 | Pt 3.259e+00 | H 9.1660 | ETA 7.23h
I 7500 | L 1.1440 | P 3.112e+00 | Lt 1.1602 | Pt 3.162e+00 | H 13.7662 | ETA 6.99h
I 10000 | L 1.1303 | P 3.070e+00 | Lt 1.1444 | Pt 3.113e+00 | H 17.9332 | ETA 6.82h
I 12500 | L 1.1153 | P 3.024e+00 | Lt 1.1315 | Pt 3.073e+00 | H 22.2023 | ETA 6.59h
I 15000 | L 1.1057 | P 2.996e+00 | Lt 1.1258 | Pt 3.056e+00 | H 26.4028 | ETA 6.39h
I 17500 | L 1.0993 | P 2.977e+00 | Lt 1.1164 | Pt 3.027e+00 | H 30.3521 | ETA 6.19h
I 20000 | L 1.0960 | P 2.967e+00 | Lt 1.1095 | Pt 3.007e+00 | H 34.5368 | ETA 5.98h
I 22500 | L 1.0904 | P 2.951e+00 | Lt 1.1088 | Pt 3.005e+00 | H 38.7334 | ETA 5.78h
I 25000 | L 1.0844 | P 2.933e+00 | Lt 1.1055 | Pt 2.995e+00 | H 42.6142 | ETA 5.61h
I 27500 | L 1.0800 | P 2.920e+00 | Lt 1.0968 | Pt 2.969e+00 | H 46.8837 | ETA 5.42h
I 30000 | L 1.0822 | P 2.927e+00 | Lt 1.0961 | Pt 2.967e+00 | H 52.0030 | ETA 5.22h
I 32500 | L 1.0728 | P 2.899e+00 | Lt 1.0972 | Pt 2.970e+00 | H 56.3219 | ETA 5.04h
I 35000 | L 1.0750 | P 2.906e+00 | Lt 1.0911 | Pt 2.953e+00 | H 60.4749 | ETA 4.85h
I 37500 | L 1.0723 | P 2.898e+00 | Lt 1.0888 | Pt 2.946e+00 | H 63.8494 | ETA 4.66h
I 40000 | L 1.0689 | P 2.888e+00 | Lt 1.0870 | Pt 2.941e+00 | H 69.5519 | ETA 4.47h
I 42500 | L 1.0694 | P 2.889e+00 | Lt 1.0872 | Pt 2.941e+00 | H 72.9932 | ETA 4.29h
I 45000 | L 1.0630 | P 2.871e+00 | Lt 1.0826 | Pt 2.928e+00 | H 77.7655 | ETA 4.10h
I 47500 | L 1.0667 | P 2.882e+00 | Lt 1.0821 | Pt 2.926e+00 | H 82.6384 | ETA 3.91h
I 50000 | L 1.0629 | P 2.871e+00 | Lt 1.0800 | Pt 2.920e+00 | H 87.5296 | ETA 3.73h
I 52500 | L 1.0589 | P 2.860e+00 | Lt 1.0775 | Pt 2.913e+00 | H 92.1579 | ETA 3.55h
I 55000 | L 1.0593 | P 2.861e+00 | Lt 1.0788 | Pt 2.917e+00 | H 97.5842 | ETA 3.36h
I 57500 | L 1.0593 | P 2.861e+00 | Lt 1.0762 | Pt 2.909e+00 | H 101.3511 | ETA 3.17h
I 60000 | L 1.0578 | P 2.857e+00 | Lt 1.0787 | Pt 2.916e+00 | H 106.4880 | ETA 2.98h
I 62500 | L 1.0532 | P 2.843e+00 | Lt 1.0738 | Pt 2.902e+00 | H 110.5236 | ETA 2.80h
I 65000 | L 1.0510 | P 2.837e+00 | Lt 1.0714 | Pt 2.895e+00 | H 116.0496 | ETA 2.61h
I 67500 | L 1.0539 | P 2.846e+00 | Lt 1.0692 | Pt 2.889e+00 | H 120.9081 | ETA 2.42h
I 70000 | L 1.0522 | P 2.841e+00 | Lt 1.0679 | Pt 2.885e+00 | H 127.2095 | ETA 2.23h
I 72500 | L 1.0517 | P 2.839e+00 | Lt 1.0706 | Pt 2.893e+00 | H 129.4338 | ETA 2.04h
I 75000 | L 1.0526 | P 2.842e+00 | Lt 1.0671 | Pt 2.883e+00 | H 134.8624 | ETA 1.86h
I 77500 | L 1.0539 | P 2.845e+00 | Lt 1.0673 | Pt 2.884e+00 | H 141.3191 | ETA 1.68h
I 80000 | L 1.0541 | P 2.846e+00 | Lt 1.0687 | Pt 2.888e+00 | H 146.6805 | ETA 1.49h
I 82500 | L 1.0514 | P 2.839e+00 | Lt 1.0665 | Pt 2.881e+00 | H 150.6772 | ETA 1.30h
I 85000 | L 1.0512 | P 2.838e+00 | Lt 1.0662 | Pt 2.881e+00 | H 157.2798 | ETA 1.12h
I 87500 | L 1.0478 | P 2.828e+00 | Lt 1.0653 | Pt 2.878e+00 | H 160.7610 | ETA 0.93h
I 90000 | L 1.0438 | P 2.817e+00 | Lt 1.0623 | Pt 2.869e+00 | H 166.6871 | ETA 0.74h
I 92500 | L 1.0459 | P 2.823e+00 | Lt 1.0640 | Pt 2.874e+00 | H 171.9829 | ETA 0.56h
I 95000 | L 1.0485 | P 2.830e+00 | Lt 1.0637 | Pt 2.873e+00 | H 178.0472 | ETA 0.37h
I 97500 | L 1.0491 | P 2.832e+00 | Lt 1.0626 | Pt 2.870e+00 | H 181.5111 | ETA 0.19h
I 100000 | L 1.0488 | P 2.831e+00 | Lt 1.0617 | Pt 2.868e+00 | H 190.5856 | ETA 0.00h
I 100001 | L 1.0488 | P 2.831e+00 | Lt 1.0617 | Pt 2.868e+00
Finished training!
