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: 1350172672.0
cola_params: 64141128
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: 1337589760.0
non_emb_params: 63813448
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_l6-dm1024-de-1-h-1-dh64-ttr1-010206
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_010206
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_l6-dm1024-de-1-h-1-dh64-ttr1-010206
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1998 | P 3.289e+00 | Lt 1.2226 | Pt 3.364e+00 | H 3.7035 | ETA 11.96h
I 5000 | L 1.1234 | P 3.049e+00 | Lt 1.1442 | Pt 3.112e+00 | H 7.7651 | ETA 11.71h
I 7500 | L 1.0880 | P 2.943e+00 | Lt 1.1103 | Pt 3.009e+00 | H 10.9777 | ETA 11.43h
I 10000 | L 1.0730 | P 2.900e+00 | Lt 1.0909 | Pt 2.952e+00 | H 14.0939 | ETA 11.14h
I 12500 | L 1.0577 | P 2.856e+00 | Lt 1.0786 | Pt 2.916e+00 | H 17.0951 | ETA 10.84h
I 15000 | L 1.0507 | P 2.836e+00 | Lt 1.0710 | Pt 2.894e+00 | H 20.0197 | ETA 10.53h
I 17500 | L 1.0373 | P 2.799e+00 | Lt 1.0557 | Pt 2.851e+00 | H 23.0925 | ETA 10.23h
I 20000 | L 1.0328 | P 2.787e+00 | Lt 1.0473 | Pt 2.827e+00 | H 25.7172 | ETA 9.93h
I 22500 | L 1.0277 | P 2.772e+00 | Lt 1.0408 | Pt 2.809e+00 | H 28.4869 | ETA 9.63h
I 25000 | L 1.0238 | P 2.762e+00 | Lt 1.0386 | Pt 2.803e+00 | H 31.6094 | ETA 9.32h
I 27500 | L 1.0179 | P 2.746e+00 | Lt 1.0353 | Pt 2.794e+00 | H 34.2765 | ETA 9.01h
I 30000 | L 1.0160 | P 2.740e+00 | Lt 1.0294 | Pt 2.777e+00 | H 37.3533 | ETA 8.70h
I 32500 | L 1.0116 | P 2.728e+00 | Lt 1.0285 | Pt 2.775e+00 | H 40.4286 | ETA 8.39h
I 35000 | L 1.0082 | P 2.719e+00 | Lt 1.0254 | Pt 2.766e+00 | H 43.5857 | ETA 8.08h
I 37500 | L 1.0069 | P 2.716e+00 | Lt 1.0198 | Pt 2.751e+00 | H 46.2889 | ETA 7.77h
I 40000 | L 1.0007 | P 2.699e+00 | Lt 1.0198 | Pt 2.751e+00 | H 48.7290 | ETA 7.46h
I 42500 | L 1.0005 | P 2.699e+00 | Lt 1.0152 | Pt 2.738e+00 | H 52.5214 | ETA 7.15h
I 45000 | L 0.9982 | P 2.692e+00 | Lt 1.0149 | Pt 2.737e+00 | H 55.3164 | ETA 6.84h
I 47500 | L 0.9954 | P 2.685e+00 | Lt 1.0124 | Pt 2.731e+00 | H 58.0470 | ETA 6.53h
I 50000 | L 0.9936 | P 2.680e+00 | Lt 1.0103 | Pt 2.725e+00 | H 61.3572 | ETA 6.22h
I 52500 | L 0.9920 | P 2.676e+00 | Lt 1.0097 | Pt 2.723e+00 | H 64.5214 | ETA 5.90h
I 55000 | L 0.9892 | P 2.668e+00 | Lt 1.0089 | Pt 2.721e+00 | H 67.4785 | ETA 5.59h
I 57500 | L 0.9871 | P 2.663e+00 | Lt 1.0052 | Pt 2.711e+00 | H 70.9321 | ETA 5.28h
I 60000 | L 0.9878 | P 2.665e+00 | Lt 0.9997 | Pt 2.696e+00 | H 73.8732 | ETA 4.97h
I 62500 | L 0.9860 | P 2.660e+00 | Lt 1.0017 | Pt 2.702e+00 | H 77.0004 | ETA 4.66h
I 65000 | L 0.9848 | P 2.657e+00 | Lt 0.9985 | Pt 2.693e+00 | H 81.4428 | ETA 4.35h
I 67500 | L 0.9843 | P 2.656e+00 | Lt 0.9944 | Pt 2.682e+00 | H 84.2407 | ETA 4.04h
I 70000 | L 0.9802 | P 2.645e+00 | Lt 0.9962 | Pt 2.687e+00 | H 86.4841 | ETA 3.73h
I 72500 | L 0.9817 | P 2.649e+00 | Lt 0.9916 | Pt 2.675e+00 | H 91.2520 | ETA 3.42h
I 75000 | L 0.9799 | P 2.644e+00 | Lt 0.9916 | Pt 2.675e+00 | H 94.1765 | ETA 3.11h
I 77500 | L 0.9770 | P 2.636e+00 | Lt 0.9968 | Pt 2.689e+00 | H 98.4062 | ETA 2.79h
I 80000 | L 0.9765 | P 2.635e+00 | Lt 0.9904 | Pt 2.672e+00 | H 101.0579 | ETA 2.48h
I 82500 | L 0.9773 | P 2.637e+00 | Lt 0.9890 | Pt 2.668e+00 | H 104.1935 | ETA 2.17h
I 85000 | L 0.9748 | P 2.631e+00 | Lt 0.9859 | Pt 2.660e+00 | H 107.3740 | ETA 1.86h
I 87500 | L 0.9747 | P 2.630e+00 | Lt 0.9891 | Pt 2.668e+00 | H 111.0068 | ETA 1.55h
I 90000 | L 0.9724 | P 2.624e+00 | Lt 0.9860 | Pt 2.660e+00 | H 115.5114 | ETA 1.24h
I 92500 | L 0.9724 | P 2.624e+00 | Lt 0.9849 | Pt 2.657e+00 | H 118.4272 | ETA 0.93h
I 95000 | L 0.9709 | P 2.620e+00 | Lt 0.9820 | Pt 2.649e+00 | H 123.0245 | ETA 0.62h
I 97500 | L 0.9710 | P 2.621e+00 | Lt 0.9834 | Pt 2.653e+00 | H 126.8449 | ETA 0.31h
I 100000 | L 0.9714 | P 2.622e+00 | Lt 0.9812 | Pt 2.648e+00 | H 130.9191 | ETA 0.00h
I 100001 | L 0.9714 | P 2.622e+00 | Lt 0.9812 | Pt 2.648e+00
Finished training!
