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: 653393920.0
cola_params: 16285092
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: 3
neurons: 0
non_emb_flops: 640811008.0
non_emb_params: 15957412
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_l3-dm1024-de-1-h-1-dh64-ttr1-000809
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_000809
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_l3-dm1024-de-1-h-1-dh64-ttr1-000809
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2353 | P 3.407e+00 | Lt 1.2548 | Pt 3.473e+00 | H 4.2011 | ETA 3.88h
I 5000 | L 1.1588 | P 3.157e+00 | Lt 1.1818 | Pt 3.231e+00 | H 8.0607 | ETA 3.79h
I 7500 | L 1.1299 | P 3.068e+00 | Lt 1.1502 | Pt 3.131e+00 | H 10.6735 | ETA 3.70h
I 10000 | L 1.1159 | P 3.026e+00 | Lt 1.1357 | Pt 3.086e+00 | H 13.4626 | ETA 3.60h
I 12500 | L 1.1018 | P 2.984e+00 | Lt 1.1219 | Pt 3.044e+00 | H 15.6624 | ETA 3.50h
I 15000 | L 1.0953 | P 2.965e+00 | Lt 1.1125 | Pt 3.016e+00 | H 17.8357 | ETA 3.40h
I 17500 | L 1.0874 | P 2.942e+00 | Lt 1.1053 | Pt 2.994e+00 | H 20.4315 | ETA 3.30h
I 20000 | L 1.0839 | P 2.931e+00 | Lt 1.0968 | Pt 2.969e+00 | H 22.5881 | ETA 3.21h
I 22500 | L 1.0772 | P 2.912e+00 | Lt 1.1000 | Pt 2.979e+00 | H 24.8136 | ETA 3.11h
I 25000 | L 1.0765 | P 2.910e+00 | Lt 1.0880 | Pt 2.944e+00 | H 26.9140 | ETA 3.01h
I 27500 | L 1.0715 | P 2.895e+00 | Lt 1.0902 | Pt 2.950e+00 | H 29.3283 | ETA 2.91h
I 30000 | L 1.0672 | P 2.883e+00 | Lt 1.0859 | Pt 2.937e+00 | H 31.6891 | ETA 2.81h
I 32500 | L 1.0637 | P 2.873e+00 | Lt 1.0800 | Pt 2.920e+00 | H 34.1839 | ETA 2.71h
I 35000 | L 1.0627 | P 2.870e+00 | Lt 1.0831 | Pt 2.929e+00 | H 36.1801 | ETA 2.61h
I 37500 | L 1.0608 | P 2.865e+00 | Lt 1.0777 | Pt 2.914e+00 | H 38.4437 | ETA 2.51h
I 40000 | L 1.0587 | P 2.859e+00 | Lt 1.0805 | Pt 2.922e+00 | H 40.9726 | ETA 2.41h
I 42500 | L 1.0534 | P 2.844e+00 | Lt 1.0761 | Pt 2.909e+00 | H 43.2260 | ETA 2.31h
I 45000 | L 1.0548 | P 2.848e+00 | Lt 1.0690 | Pt 2.888e+00 | H 46.8908 | ETA 2.21h
I 47500 | L 1.0518 | P 2.840e+00 | Lt 1.0655 | Pt 2.878e+00 | H 48.3938 | ETA 2.11h
I 50000 | L 1.0511 | P 2.838e+00 | Lt 1.0633 | Pt 2.872e+00 | H 51.0047 | ETA 2.01h
I 52500 | L 1.0539 | P 2.846e+00 | Lt 1.0674 | Pt 2.884e+00 | H 52.9292 | ETA 1.91h
I 55000 | L 1.0488 | P 2.831e+00 | Lt 1.0654 | Pt 2.878e+00 | H 55.8667 | ETA 1.81h
I 57500 | L 1.0521 | P 2.840e+00 | Lt 1.0622 | Pt 2.869e+00 | H 59.0989 | ETA 1.71h
I 60000 | L 1.0421 | P 2.812e+00 | Lt 1.0645 | Pt 2.876e+00 | H 61.6102 | ETA 1.61h
I 62500 | L 1.0431 | P 2.815e+00 | Lt 1.0626 | Pt 2.870e+00 | H 63.7112 | ETA 1.51h
I 65000 | L 1.0453 | P 2.821e+00 | Lt 1.0590 | Pt 2.860e+00 | H 66.4329 | ETA 1.41h
I 67500 | L 1.0431 | P 2.815e+00 | Lt 1.0587 | Pt 2.859e+00 | H 69.1284 | ETA 1.31h
I 70000 | L 1.0448 | P 2.820e+00 | Lt 1.0624 | Pt 2.870e+00 | H 71.2782 | ETA 1.21h
I 72500 | L 1.0409 | P 2.809e+00 | Lt 1.0558 | Pt 2.851e+00 | H 74.1875 | ETA 1.10h
I 75000 | L 1.0390 | P 2.804e+00 | Lt 1.0575 | Pt 2.856e+00 | H 76.8812 | ETA 1.00h
I 77500 | L 1.0394 | P 2.805e+00 | Lt 1.0567 | Pt 2.854e+00 | H 78.9324 | ETA 0.90h
I 80000 | L 1.0386 | P 2.803e+00 | Lt 1.0525 | Pt 2.841e+00 | H 83.0937 | ETA 0.80h
I 82500 | L 1.0357 | P 2.795e+00 | Lt 1.0526 | Pt 2.842e+00 | H 84.9753 | ETA 0.70h
I 85000 | L 1.0341 | P 2.790e+00 | Lt 1.0507 | Pt 2.836e+00 | H 89.4452 | ETA 0.60h
I 87500 | L 1.0403 | P 2.807e+00 | Lt 1.0517 | Pt 2.839e+00 | H 91.3092 | ETA 0.50h
I 90000 | L 1.0376 | P 2.800e+00 | Lt 1.0536 | Pt 2.845e+00 | H 94.0512 | ETA 0.40h
I 92500 | L 1.0334 | P 2.788e+00 | Lt 1.0520 | Pt 2.840e+00 | H 97.5024 | ETA 0.30h
I 95000 | L 1.0357 | P 2.795e+00 | Lt 1.0499 | Pt 2.834e+00 | H 99.9680 | ETA 0.20h
I 97500 | L 1.0339 | P 2.790e+00 | Lt 1.0499 | Pt 2.834e+00 | H 102.8495 | ETA 0.10h
I 100000 | L 1.0302 | P 2.779e+00 | Lt 1.0458 | Pt 2.823e+00 | H 105.2669 | ETA 0.00h
I 100001 | L 1.0302 | P 2.779e+00 | Lt 1.0458 | Pt 2.823e+00
Finished training!
