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: 520945664.0
cola_params: 12189000
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: 6
neurons: 0
non_emb_flops: 514654208.0
non_emb_params: 12025160
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_l6-dm512-de-1-h-1-dh64-ttr1-002847
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_002847
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_l6-dm512-de-1-h-1-dh64-ttr1-002847
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2302 | P 3.389e+00 | Lt 1.2556 | Pt 3.476e+00 | H 3.8183 | ETA 5.27h
I 5000 | L 1.1619 | P 3.167e+00 | Lt 1.1871 | Pt 3.248e+00 | H 7.7163 | ETA 5.10h
I 7500 | L 1.1325 | P 3.076e+00 | Lt 1.1549 | Pt 3.146e+00 | H 10.6254 | ETA 4.97h
I 10000 | L 1.1180 | P 3.032e+00 | Lt 1.1390 | Pt 3.096e+00 | H 13.3330 | ETA 4.83h
I 12500 | L 1.1034 | P 2.989e+00 | Lt 1.1281 | Pt 3.063e+00 | H 15.9405 | ETA 4.70h
I 15000 | L 1.0971 | P 2.970e+00 | Lt 1.1191 | Pt 3.036e+00 | H 18.2355 | ETA 4.57h
I 17500 | L 1.0933 | P 2.959e+00 | Lt 1.1124 | Pt 3.015e+00 | H 20.4271 | ETA 4.42h
I 20000 | L 1.0870 | P 2.940e+00 | Lt 1.1020 | Pt 2.985e+00 | H 22.8520 | ETA 4.30h
I 22500 | L 1.0800 | P 2.920e+00 | Lt 1.0970 | Pt 2.970e+00 | H 25.0544 | ETA 4.16h
I 25000 | L 1.0767 | P 2.911e+00 | Lt 1.1010 | Pt 2.982e+00 | H 27.3540 | ETA 4.02h
I 27500 | L 1.0728 | P 2.899e+00 | Lt 1.0915 | Pt 2.954e+00 | H 29.9076 | ETA 3.89h
I 30000 | L 1.0726 | P 2.899e+00 | Lt 1.0922 | Pt 2.956e+00 | H 32.1031 | ETA 3.75h
I 32500 | L 1.0702 | P 2.892e+00 | Lt 1.0874 | Pt 2.942e+00 | H 34.7404 | ETA 3.61h
I 35000 | L 1.0668 | P 2.882e+00 | Lt 1.0787 | Pt 2.916e+00 | H 36.9288 | ETA 3.48h
I 37500 | L 1.0564 | P 2.853e+00 | Lt 1.0812 | Pt 2.924e+00 | H 38.9831 | ETA 3.34h
I 40000 | L 1.0610 | P 2.866e+00 | Lt 1.0756 | Pt 2.908e+00 | H 41.6785 | ETA 3.21h
I 42500 | L 1.0581 | P 2.857e+00 | Lt 1.0752 | Pt 2.906e+00 | H 43.8658 | ETA 3.08h
I 45000 | L 1.0555 | P 2.850e+00 | Lt 1.0768 | Pt 2.911e+00 | H 45.5801 | ETA 2.94h
I 47500 | L 1.0589 | P 2.860e+00 | Lt 1.0708 | Pt 2.894e+00 | H 49.0551 | ETA 2.81h
I 50000 | L 1.0584 | P 2.858e+00 | Lt 1.0714 | Pt 2.895e+00 | H 51.2621 | ETA 2.67h
I 52500 | L 1.0547 | P 2.848e+00 | Lt 1.0709 | Pt 2.894e+00 | H 53.3787 | ETA 2.54h
I 55000 | L 1.0509 | P 2.837e+00 | Lt 1.0704 | Pt 2.893e+00 | H 55.8267 | ETA 2.40h
I 57500 | L 1.0492 | P 2.832e+00 | Lt 1.0677 | Pt 2.885e+00 | H 58.8117 | ETA 2.27h
I 60000 | L 1.0508 | P 2.837e+00 | Lt 1.0706 | Pt 2.893e+00 | H 60.8867 | ETA 2.14h
I 62500 | L 1.0494 | P 2.833e+00 | Lt 1.0653 | Pt 2.878e+00 | H 63.3158 | ETA 2.00h
I 65000 | L 1.0454 | P 2.822e+00 | Lt 1.0651 | Pt 2.877e+00 | H 66.4103 | ETA 1.87h
I 67500 | L 1.0435 | P 2.816e+00 | Lt 1.0635 | Pt 2.873e+00 | H 69.0978 | ETA 1.73h
I 70000 | L 1.0441 | P 2.818e+00 | Lt 1.0630 | Pt 2.871e+00 | H 71.4006 | ETA 1.60h
I 72500 | L 1.0439 | P 2.817e+00 | Lt 1.0598 | Pt 2.862e+00 | H 74.4537 | ETA 1.47h
I 75000 | L 1.0454 | P 2.822e+00 | Lt 1.0609 | Pt 2.865e+00 | H 76.5209 | ETA 1.33h
I 77500 | L 1.0411 | P 2.810e+00 | Lt 1.0603 | Pt 2.863e+00 | H 79.4599 | ETA 1.20h
I 80000 | L 1.0442 | P 2.818e+00 | Lt 1.0616 | Pt 2.867e+00 | H 83.0369 | ETA 1.06h
I 82500 | L 1.0416 | P 2.811e+00 | Lt 1.0590 | Pt 2.860e+00 | H 85.5748 | ETA 0.93h
I 85000 | L 1.0410 | P 2.809e+00 | Lt 1.0532 | Pt 2.843e+00 | H 87.9815 | ETA 0.80h
I 87500 | L 1.0405 | P 2.808e+00 | Lt 1.0573 | Pt 2.855e+00 | H 91.2949 | ETA 0.67h
I 90000 | L 1.0365 | P 2.797e+00 | Lt 1.0564 | Pt 2.853e+00 | H 94.0777 | ETA 0.53h
I 92500 | L 1.0364 | P 2.797e+00 | Lt 1.0547 | Pt 2.848e+00 | H 94.9381 | ETA 0.40h
I 95000 | L 1.0409 | P 2.809e+00 | Lt 1.0547 | Pt 2.848e+00 | H 99.0198 | ETA 0.27h
I 97500 | L 1.0345 | P 2.791e+00 | Lt 1.0529 | Pt 2.843e+00 | H 101.9141 | ETA 0.13h
I 100000 | L 1.0350 | P 2.793e+00 | Lt 1.0520 | Pt 2.840e+00 | H 104.0905 | ETA 0.00h
I 100001 | L 1.0350 | P 2.793e+00 | Lt 1.0520 | Pt 2.840e+00
Finished training!
