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: 3593732096.0
cola_params: 95939400
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: 8
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: 6
neurons: 0
non_emb_flops: 3568566272.0
non_emb_params: 95284040
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-dm2048-de-1-h-1-dh64-ttr1-010306
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_010306
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-dm2048-de-1-h-1-dh64-ttr1-010306
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1870 | P 3.247e+00 | Lt 1.2098 | Pt 3.321e+00 | H 4.2315 | ETA 14.61h
I 5000 | L 1.1057 | P 2.996e+00 | Lt 1.1292 | Pt 3.066e+00 | H 10.1943 | ETA 14.32h
I 7500 | L 1.0747 | P 2.905e+00 | Lt 1.0910 | Pt 2.952e+00 | H 16.3320 | ETA 13.98h
I 10000 | L 1.0504 | P 2.836e+00 | Lt 1.0663 | Pt 2.881e+00 | H 22.3212 | ETA 13.62h
I 12500 | L 1.0411 | P 2.809e+00 | Lt 1.0558 | Pt 2.851e+00 | H 28.0115 | ETA 13.25h
I 15000 | L 1.0263 | P 2.769e+00 | Lt 1.0448 | Pt 2.820e+00 | H 33.9488 | ETA 12.88h
I 17500 | L 1.0205 | P 2.753e+00 | Lt 1.0374 | Pt 2.799e+00 | H 39.9490 | ETA 12.51h
I 20000 | L 1.0129 | P 2.732e+00 | Lt 1.0298 | Pt 2.778e+00 | H 45.7172 | ETA 12.14h
I 22500 | L 1.0084 | P 2.720e+00 | Lt 1.0232 | Pt 2.760e+00 | H 51.2497 | ETA 11.76h
I 25000 | L 1.0028 | P 2.705e+00 | Lt 1.0203 | Pt 2.752e+00 | H 57.6728 | ETA 11.38h
I 27500 | L 0.9996 | P 2.696e+00 | Lt 1.0127 | Pt 2.732e+00 | H 63.5189 | ETA 11.00h
I 30000 | L 0.9947 | P 2.683e+00 | Lt 1.0084 | Pt 2.720e+00 | H 69.2900 | ETA 10.62h
I 32500 | L 0.9923 | P 2.677e+00 | Lt 1.0047 | Pt 2.710e+00 | H 75.9674 | ETA 10.25h
I 35000 | L 0.9851 | P 2.658e+00 | Lt 1.0009 | Pt 2.700e+00 | H 81.3723 | ETA 9.87h
I 37500 | L 0.9843 | P 2.656e+00 | Lt 1.0000 | Pt 2.697e+00 | H 87.5782 | ETA 9.49h
I 40000 | L 0.9814 | P 2.648e+00 | Lt 0.9949 | Pt 2.684e+00 | H 93.4482 | ETA 9.11h
I 42500 | L 0.9815 | P 2.648e+00 | Lt 0.9945 | Pt 2.683e+00 | H 99.1560 | ETA 8.73h
I 45000 | L 0.9749 | P 2.631e+00 | Lt 0.9927 | Pt 2.678e+00 | H 106.4942 | ETA 8.35h
I 47500 | L 0.9772 | P 2.637e+00 | Lt 0.9905 | Pt 2.672e+00 | H 112.7196 | ETA 7.97h
I 50000 | L 0.9787 | P 2.641e+00 | Lt 0.9908 | Pt 2.673e+00 | H 118.1801 | ETA 7.58h
I 52500 | L 0.9697 | P 2.617e+00 | Lt 0.9868 | Pt 2.662e+00 | H 124.9584 | ETA 7.20h
I 55000 | L 0.9696 | P 2.617e+00 | Lt 0.9821 | Pt 2.650e+00 | H 132.5963 | ETA 6.82h
I 57500 | L 0.9702 | P 2.619e+00 | Lt 0.9823 | Pt 2.650e+00 | H 137.5456 | ETA 6.45h
I 60000 | L 0.9675 | P 2.612e+00 | Lt 0.9770 | Pt 2.637e+00 | H 145.2619 | ETA 6.07h
I 62500 | L 0.9648 | P 2.605e+00 | Lt 0.9801 | Pt 2.645e+00 | H 150.5173 | ETA 5.69h
I 65000 | L 0.9634 | P 2.601e+00 | Lt 0.9738 | Pt 2.628e+00 | H 157.6415 | ETA 5.31h
I 67500 | L 0.9634 | P 2.601e+00 | Lt 0.9744 | Pt 2.630e+00 | H 164.9656 | ETA 4.93h
I 70000 | L 0.9609 | P 2.595e+00 | Lt 0.9764 | Pt 2.635e+00 | H 172.7915 | ETA 4.55h
I 72500 | L 0.9580 | P 2.587e+00 | Lt 0.9743 | Pt 2.629e+00 | H 178.1384 | ETA 4.17h
I 75000 | L 0.9596 | P 2.591e+00 | Lt 0.9661 | Pt 2.608e+00 | H 185.1491 | ETA 3.79h
I 77500 | L 0.9593 | P 2.590e+00 | Lt 0.9672 | Pt 2.611e+00 | H 191.8826 | ETA 3.41h
I 80000 | L 0.9605 | P 2.593e+00 | Lt 0.9689 | Pt 2.615e+00 | H 197.7800 | ETA 3.03h
I 82500 | L 0.9605 | P 2.594e+00 | Lt 0.9651 | Pt 2.605e+00 | H 205.7049 | ETA 2.65h
I 85000 | L 0.9563 | P 2.583e+00 | Lt 0.9645 | Pt 2.604e+00 | H 212.7821 | ETA 2.27h
I 87500 | L 0.9538 | P 2.576e+00 | Lt 0.9647 | Pt 2.604e+00 | H 216.2737 | ETA 1.89h
I 90000 | L 0.9535 | P 2.576e+00 | Lt 0.9632 | Pt 2.601e+00 | H 225.7315 | ETA 1.52h
I 92500 | L 0.9511 | P 2.569e+00 | Lt 0.9610 | Pt 2.595e+00 | H 233.5797 | ETA 1.14h
I 95000 | L 0.9501 | P 2.567e+00 | Lt 0.9642 | Pt 2.603e+00 | H 238.3178 | ETA 0.76h
I 97500 | L 0.9516 | P 2.571e+00 | Lt 0.9591 | Pt 2.590e+00 | H 248.3642 | ETA 0.38h
I 100000 | L 0.9479 | P 2.561e+00 | Lt 0.9586 | Pt 2.589e+00 | H 252.3612 | ETA 0.00h
I 100001 | L 0.9479 | P 2.561e+00 | Lt 0.9586 | Pt 2.589e+00
Finished training!
