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: 32
beta1: 0.9
beta2: 0.95
bias: False
block_size: 128
ckpt_path:
cola_flops: 2018639872.0
cola_params: 96047340
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: 16
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: 9
neurons: 0
non_emb_flops: 2006056960.0
non_emb_params: 95719660
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 16
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e16_k2_ffe1k2_all_but_last_l9-dm1024-de-1-h-1-dh64-ttr1-192503
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_192503
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_e16_k2_ffe1k2_all_but_last_l9-dm1024-de-1-h-1-dh64-ttr1-192503
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1946 | P 3.272e+00 | Lt 1.2106 | Pt 3.324e+00 | H 3.8893 | ETA 10.41h
I 5000 | L 1.1126 | P 3.016e+00 | Lt 1.1375 | Pt 3.091e+00 | H 8.5933 | ETA 10.20h
I 7500 | L 1.0783 | P 2.915e+00 | Lt 1.1074 | Pt 3.001e+00 | H 13.0038 | ETA 9.94h
I 10000 | L 1.0583 | P 2.858e+00 | Lt 1.0834 | Pt 2.930e+00 | H 16.7886 | ETA 9.68h
I 12500 | L 1.0443 | P 2.818e+00 | Lt 1.0644 | Pt 2.875e+00 | H 20.7694 | ETA 9.43h
I 15000 | L 1.0356 | P 2.794e+00 | Lt 1.0494 | Pt 2.833e+00 | H 24.5800 | ETA 9.17h
I 17500 | L 1.0252 | P 2.766e+00 | Lt 1.0430 | Pt 2.815e+00 | H 28.2025 | ETA 8.91h
I 20000 | L 1.0172 | P 2.744e+00 | Lt 1.0358 | Pt 2.795e+00 | H 32.0203 | ETA 8.64h
I 22500 | L 1.0197 | P 2.751e+00 | Lt 1.0291 | Pt 2.776e+00 | H 35.2527 | ETA 8.38h
I 25000 | L 1.0115 | P 2.728e+00 | Lt 1.0251 | Pt 2.765e+00 | H 38.5959 | ETA 8.10h
I 27500 | L 1.0022 | P 2.703e+00 | Lt 1.0187 | Pt 2.748e+00 | H 42.1949 | ETA 7.82h
I 30000 | L 1.0015 | P 2.701e+00 | Lt 1.0194 | Pt 2.750e+00 | H 46.2386 | ETA 7.55h
I 32500 | L 0.9930 | P 2.679e+00 | Lt 1.0098 | Pt 2.724e+00 | H 49.6394 | ETA 7.28h
I 35000 | L 0.9942 | P 2.682e+00 | Lt 1.0092 | Pt 2.722e+00 | H 53.3359 | ETA 7.01h
I 37500 | L 0.9949 | P 2.684e+00 | Lt 0.9995 | Pt 2.696e+00 | H 56.6900 | ETA 6.73h
I 40000 | L 0.9893 | P 2.669e+00 | Lt 1.0044 | Pt 2.709e+00 | H 59.9192 | ETA 6.46h
I 42500 | L 0.9878 | P 2.665e+00 | Lt 0.9979 | Pt 2.692e+00 | H 63.9376 | ETA 6.19h
I 45000 | L 0.9816 | P 2.648e+00 | Lt 1.0038 | Pt 2.707e+00 | H 68.2289 | ETA 5.92h
I 47500 | L 0.9796 | P 2.643e+00 | Lt 0.9973 | Pt 2.690e+00 | H 71.7011 | ETA 5.65h
I 50000 | L 0.9787 | P 2.641e+00 | Lt 0.9910 | Pt 2.673e+00 | H 75.6651 | ETA 5.39h
I 52500 | L 0.9749 | P 2.631e+00 | Lt 0.9893 | Pt 2.669e+00 | H 79.5355 | ETA 5.12h
I 55000 | L 0.9753 | P 2.632e+00 | Lt 0.9887 | Pt 2.667e+00 | H 84.2066 | ETA 4.85h
I 57500 | L 0.9728 | P 2.626e+00 | Lt 0.9802 | Pt 2.645e+00 | H 86.9401 | ETA 4.58h
I 60000 | L 0.9743 | P 2.629e+00 | Lt 0.9819 | Pt 2.649e+00 | H 91.3789 | ETA 4.31h
I 62500 | L 0.9762 | P 2.634e+00 | Lt 0.9819 | Pt 2.649e+00 | H 95.3951 | ETA 4.04h
I 65000 | L 0.9699 | P 2.618e+00 | Lt 0.9825 | Pt 2.651e+00 | H 99.4479 | ETA 3.77h
I 67500 | L 0.9713 | P 2.622e+00 | Lt 0.9813 | Pt 2.648e+00 | H 103.4061 | ETA 3.50h
I 70000 | L 0.9678 | P 2.613e+00 | Lt 0.9798 | Pt 2.644e+00 | H 107.8958 | ETA 3.23h
I 72500 | L 0.9649 | P 2.605e+00 | Lt 0.9773 | Pt 2.637e+00 | H 112.6687 | ETA 2.96h
I 75000 | L 0.9668 | P 2.610e+00 | Lt 0.9776 | Pt 2.638e+00 | H 116.5586 | ETA 2.69h
I 77500 | L 0.9647 | P 2.604e+00 | Lt 0.9769 | Pt 2.636e+00 | H 119.8038 | ETA 2.42h
I 80000 | L 0.9595 | P 2.591e+00 | Lt 0.9744 | Pt 2.630e+00 | H 124.5337 | ETA 2.15h
I 82500 | L 0.9542 | P 2.577e+00 | Lt 0.9754 | Pt 2.632e+00 | H 128.8559 | ETA 1.88h
I 85000 | L 0.9615 | P 2.596e+00 | Lt 0.9727 | Pt 2.625e+00 | H 133.3177 | ETA 1.61h
I 87500 | L 0.9640 | P 2.603e+00 | Lt 0.9712 | Pt 2.621e+00 | H 137.8418 | ETA 1.34h
I 90000 | L 0.9609 | P 2.595e+00 | Lt 0.9641 | Pt 2.603e+00 | H 143.3056 | ETA 1.08h
I 92500 | L 0.9585 | P 2.589e+00 | Lt 0.9707 | Pt 2.620e+00 | H 143.4461 | ETA 0.81h
I 95000 | L 0.9599 | P 2.592e+00 | Lt 0.9662 | Pt 2.608e+00 | H 149.9650 | ETA 0.54h
I 97500 | L 0.9543 | P 2.578e+00 | Lt 0.9693 | Pt 2.616e+00 | H 155.0522 | ETA 0.27h
I 100000 | L 0.9564 | P 2.583e+00 | Lt 0.9689 | Pt 2.615e+00 | H 159.2365 | ETA 0.00h
I 100001 | L 0.9564 | P 2.583e+00 | Lt 0.9689 | Pt 2.615e+00
Finished training!
