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: 16
beta1: 0.9
beta2: 0.95
bias: False
block_size: 128
ckpt_path:
cola_flops: 5292425216.0
cola_params: 72137964
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 2048
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: 458752
eval_interval: 2500
eval_iters: 200
eval_only: False
every_n_fwds: 200
expr:
ffn_expansion: 4
grad_clip: 1.0
gradient_accumulation_steps: 32
head_btt_case_proj: (n|d|n|d)
head_btt_case_qkv: (n|d|n|d)
head_params: 196608
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: 5267259392.0
non_emb_params: 71482604
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 4
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e4_k2_ffe1k2_all_but_last_l9-dm2048-de-1-h-1-dh64-ttr1-191546
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_191546
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_e4_k2_ffe1k2_all_but_last_l9-dm2048-de-1-h-1-dh64-ttr1-191546
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1927 | P 3.266e+00 | Lt 1.2085 | Pt 3.317e+00 | H 4.4584 | ETA 8.04h
I 5000 | L 1.1080 | P 3.002e+00 | Lt 1.1275 | Pt 3.061e+00 | H 10.3038 | ETA 7.94h
I 7500 | L 1.0838 | P 2.931e+00 | Lt 1.0985 | Pt 2.974e+00 | H 16.9871 | ETA 7.76h
I 10000 | L 1.0550 | P 2.849e+00 | Lt 1.0692 | Pt 2.889e+00 | H 23.5877 | ETA 7.58h
I 12500 | L 1.0331 | P 2.787e+00 | Lt 1.0567 | Pt 2.853e+00 | H 30.1922 | ETA 7.39h
I 15000 | L 1.0376 | P 2.800e+00 | Lt 1.0520 | Pt 2.840e+00 | H 35.6258 | ETA 7.17h
I 17500 | L 1.0225 | P 2.758e+00 | Lt 1.0443 | Pt 2.819e+00 | H 43.5446 | ETA 6.92h
I 20000 | L 1.0223 | P 2.758e+00 | Lt 1.0358 | Pt 2.795e+00 | H 49.9154 | ETA 6.70h
I 22500 | L 1.0056 | P 2.712e+00 | Lt 1.0223 | Pt 2.758e+00 | H 56.8168 | ETA 6.49h
I 25000 | L 1.0074 | P 2.717e+00 | Lt 1.0196 | Pt 2.750e+00 | H 64.1750 | ETA 6.28h
I 27500 | L 1.0046 | P 2.710e+00 | Lt 1.0199 | Pt 2.751e+00 | H 71.3485 | ETA 6.06h
I 30000 | L 1.0034 | P 2.706e+00 | Lt 1.0201 | Pt 2.752e+00 | H 78.5820 | ETA 5.85h
I 32500 | L 0.9953 | P 2.685e+00 | Lt 1.0065 | Pt 2.715e+00 | H 86.4921 | ETA 5.63h
I 35000 | L 0.9934 | P 2.680e+00 | Lt 1.0051 | Pt 2.711e+00 | H 94.0029 | ETA 5.42h
I 37500 | L 0.9904 | P 2.672e+00 | Lt 1.0086 | Pt 2.720e+00 | H 102.7628 | ETA 5.21h
I 40000 | L 0.9860 | P 2.660e+00 | Lt 1.0036 | Pt 2.707e+00 | H 110.6874 | ETA 5.01h
I 42500 | L 0.9831 | P 2.653e+00 | Lt 1.0036 | Pt 2.707e+00 | H 116.5303 | ETA 4.80h
I 45000 | L 0.9796 | P 2.643e+00 | Lt 0.9957 | Pt 2.686e+00 | H 124.0619 | ETA 4.59h
I 47500 | L 0.9797 | P 2.644e+00 | Lt 0.9906 | Pt 2.672e+00 | H 131.9251 | ETA 4.38h
I 50000 | L 0.9823 | P 2.650e+00 | Lt 0.9889 | Pt 2.668e+00 | H 139.2707 | ETA 4.17h
I 52500 | L 0.9731 | P 2.626e+00 | Lt 0.9931 | Pt 2.679e+00 | H 144.5015 | ETA 3.95h
I 55000 | L 0.9727 | P 2.625e+00 | Lt 0.9955 | Pt 2.685e+00 | H 154.9793 | ETA 3.75h
I 57500 | L 0.9763 | P 2.634e+00 | Lt 0.9903 | Pt 2.672e+00 | H 164.9672 | ETA 3.54h
I 60000 | L 0.9718 | P 2.623e+00 | Lt 0.9815 | Pt 2.648e+00 | H 171.9604 | ETA 3.33h
I 62500 | L 0.9729 | P 2.626e+00 | Lt 0.9882 | Pt 2.666e+00 | H 179.7905 | ETA 3.12h
I 65000 | L 0.9698 | P 2.618e+00 | Lt 0.9798 | Pt 2.644e+00 | H 188.8053 | ETA 2.91h
I 67500 | L 0.9696 | P 2.617e+00 | Lt 0.9777 | Pt 2.638e+00 | H 195.4832 | ETA 2.70h
I 70000 | L 0.9626 | P 2.599e+00 | Lt 0.9796 | Pt 2.643e+00 | H 207.1538 | ETA 2.50h
I 72500 | L 0.9615 | P 2.596e+00 | Lt 0.9755 | Pt 2.633e+00 | H 213.9041 | ETA 2.29h
I 75000 | L 0.9670 | P 2.610e+00 | Lt 0.9770 | Pt 2.636e+00 | H 222.2439 | ETA 2.08h
I 77500 | L 0.9668 | P 2.610e+00 | Lt 0.9722 | Pt 2.624e+00 | H 231.7695 | ETA 1.87h
I 80000 | L 0.9668 | P 2.610e+00 | Lt 0.9742 | Pt 2.629e+00 | H 238.3015 | ETA 1.66h
I 82500 | L 0.9581 | P 2.587e+00 | Lt 0.9704 | Pt 2.619e+00 | H 250.3328 | ETA 1.46h
I 85000 | L 0.9604 | P 2.593e+00 | Lt 0.9756 | Pt 2.633e+00 | H 258.7831 | ETA 1.25h
I 87500 | L 0.9614 | P 2.596e+00 | Lt 0.9699 | Pt 2.618e+00 | H 265.3765 | ETA 1.04h
I 90000 | L 0.9621 | P 2.598e+00 | Lt 0.9715 | Pt 2.622e+00 | H 274.0239 | ETA 0.83h
I 92500 | L 0.9587 | P 2.589e+00 | Lt 0.9703 | Pt 2.619e+00 | H 279.5293 | ETA 0.62h
I 95000 | L 0.9551 | P 2.580e+00 | Lt 0.9637 | Pt 2.602e+00 | H 289.9040 | ETA 0.42h
I 97500 | L 0.9568 | P 2.584e+00 | Lt 0.9671 | Pt 2.611e+00 | H 302.9017 | ETA 0.21h
I 100000 | L 0.9546 | P 2.578e+00 | Lt 0.9644 | Pt 2.604e+00 | H 312.5277 | ETA 0.00h
I 100001 | L 0.9546 | P 2.578e+00 | Lt 0.9644 | Pt 2.604e+00
Finished training!
