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: 820576256.0
cola_params: 36227820
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: 814284800.0
non_emb_params: 36063980
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-dm512-de-1-h-1-dh64-ttr1-193135
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_193135
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-dm512-de-1-h-1-dh64-ttr1-193135
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2073 | P 3.313e+00 | Lt 1.2332 | Pt 3.400e+00 | H 3.5040 | ETA 10.29h
I 5000 | L 1.1301 | P 3.069e+00 | Lt 1.1530 | Pt 3.139e+00 | H 7.9569 | ETA 10.06h
I 7500 | L 1.1028 | P 2.987e+00 | Lt 1.1191 | Pt 3.036e+00 | H 11.6702 | ETA 9.80h
I 10000 | L 1.0861 | P 2.938e+00 | Lt 1.0996 | Pt 2.977e+00 | H 15.3725 | ETA 9.52h
I 12500 | L 1.0709 | P 2.894e+00 | Lt 1.0858 | Pt 2.937e+00 | H 18.6874 | ETA 9.24h
I 15000 | L 1.0592 | P 2.861e+00 | Lt 1.0797 | Pt 2.919e+00 | H 21.9340 | ETA 8.99h
I 17500 | L 1.0532 | P 2.844e+00 | Lt 1.0707 | Pt 2.893e+00 | H 25.2039 | ETA 8.72h
I 20000 | L 1.0481 | P 2.829e+00 | Lt 1.0649 | Pt 2.877e+00 | H 27.9674 | ETA 8.45h
I 22500 | L 1.0393 | P 2.804e+00 | Lt 1.0615 | Pt 2.867e+00 | H 30.9144 | ETA 8.18h
I 25000 | L 1.0350 | P 2.793e+00 | Lt 1.0550 | Pt 2.849e+00 | H 34.2229 | ETA 7.91h
I 27500 | L 1.0326 | P 2.786e+00 | Lt 1.0477 | Pt 2.828e+00 | H 36.6064 | ETA 7.65h
I 30000 | L 1.0289 | P 2.776e+00 | Lt 1.0459 | Pt 2.823e+00 | H 39.3131 | ETA 7.38h
I 32500 | L 1.0263 | P 2.768e+00 | Lt 1.0441 | Pt 2.818e+00 | H 42.3734 | ETA 7.13h
I 35000 | L 1.0242 | P 2.763e+00 | Lt 1.0411 | Pt 2.810e+00 | H 45.2408 | ETA 6.87h
I 37500 | L 1.0195 | P 2.750e+00 | Lt 1.0371 | Pt 2.799e+00 | H 47.8394 | ETA 6.60h
I 40000 | L 1.0144 | P 2.736e+00 | Lt 1.0358 | Pt 2.795e+00 | H 50.4024 | ETA 6.34h
I 42500 | L 1.0187 | P 2.748e+00 | Lt 1.0299 | Pt 2.779e+00 | H 52.9832 | ETA 6.08h
I 45000 | L 1.0129 | P 2.732e+00 | Lt 1.0253 | Pt 2.766e+00 | H 56.3213 | ETA 5.81h
I 47500 | L 1.0099 | P 2.724e+00 | Lt 1.0248 | Pt 2.765e+00 | H 58.6597 | ETA 5.54h
I 50000 | L 1.0125 | P 2.731e+00 | Lt 1.0238 | Pt 2.762e+00 | H 62.1143 | ETA 5.28h
I 52500 | L 1.0071 | P 2.716e+00 | Lt 1.0241 | Pt 2.762e+00 | H 64.0438 | ETA 5.01h
I 55000 | L 1.0040 | P 2.708e+00 | Lt 1.0211 | Pt 2.754e+00 | H 67.1657 | ETA 4.75h
I 57500 | L 1.0029 | P 2.705e+00 | Lt 1.0187 | Pt 2.748e+00 | H 69.4422 | ETA 4.48h
I 60000 | L 1.0006 | P 2.699e+00 | Lt 1.0175 | Pt 2.744e+00 | H 72.2721 | ETA 4.22h
I 62500 | L 1.0007 | P 2.699e+00 | Lt 1.0164 | Pt 2.742e+00 | H 74.9786 | ETA 3.95h
I 65000 | L 0.9987 | P 2.694e+00 | Lt 1.0143 | Pt 2.736e+00 | H 78.3731 | ETA 3.69h
I 67500 | L 0.9990 | P 2.695e+00 | Lt 1.0145 | Pt 2.736e+00 | H 81.0258 | ETA 3.43h
I 70000 | L 0.9972 | P 2.690e+00 | Lt 1.0109 | Pt 2.727e+00 | H 83.0758 | ETA 3.16h
I 72500 | L 0.9944 | P 2.682e+00 | Lt 1.0100 | Pt 2.724e+00 | H 85.9041 | ETA 2.90h
I 75000 | L 0.9968 | P 2.689e+00 | Lt 1.0124 | Pt 2.731e+00 | H 89.6360 | ETA 2.63h
I 77500 | L 0.9922 | P 2.676e+00 | Lt 1.0100 | Pt 2.724e+00 | H 91.2326 | ETA 2.37h
I 80000 | L 0.9964 | P 2.688e+00 | Lt 1.0071 | Pt 2.716e+00 | H 94.7170 | ETA 2.11h
I 82500 | L 0.9900 | P 2.671e+00 | Lt 1.0054 | Pt 2.712e+00 | H 97.7486 | ETA 1.84h
I 85000 | L 0.9919 | P 2.676e+00 | Lt 1.0057 | Pt 2.713e+00 | H 100.5965 | ETA 1.58h
I 87500 | L 0.9891 | P 2.668e+00 | Lt 1.0053 | Pt 2.712e+00 | H 103.5446 | ETA 1.32h
I 90000 | L 0.9891 | P 2.668e+00 | Lt 1.0051 | Pt 2.711e+00 | H 105.6305 | ETA 1.05h
I 92500 | L 0.9888 | P 2.667e+00 | Lt 1.0021 | Pt 2.703e+00 | H 108.5530 | ETA 0.79h
I 95000 | L 0.9918 | P 2.676e+00 | Lt 1.0030 | Pt 2.705e+00 | H 112.2349 | ETA 0.53h
I 97500 | L 0.9903 | P 2.671e+00 | Lt 1.0027 | Pt 2.704e+00 | H 114.8740 | ETA 0.26h
I 100000 | L 0.9886 | P 2.667e+00 | Lt 1.0008 | Pt 2.699e+00 | H 116.8237 | ETA 0.00h
I 100001 | L 0.9886 | P 2.667e+00 | Lt 1.0008 | Pt 2.699e+00
Finished training!
