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: 1866727424.0
cola_params: 95926692
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: 3
neurons: 0
non_emb_flops: 1841561600.0
non_emb_params: 95271332
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_l3-dm2048-de-1-h-1-dh64-ttr1-001410
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_001410
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_l3-dm2048-de-1-h-1-dh64-ttr1-001410
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2098 | P 3.322e+00 | Lt 1.2265 | Pt 3.377e+00 | H 4.7293 | ETA 10.06h
I 5000 | L 1.1248 | P 3.053e+00 | Lt 1.1436 | Pt 3.110e+00 | H 9.8889 | ETA 9.86h
I 7500 | L 1.0926 | P 2.957e+00 | Lt 1.1129 | Pt 3.017e+00 | H 13.7205 | ETA 9.64h
I 10000 | L 1.0741 | P 2.903e+00 | Lt 1.0894 | Pt 2.947e+00 | H 16.9720 | ETA 9.40h
I 12500 | L 1.0613 | P 2.867e+00 | Lt 1.0795 | Pt 2.919e+00 | H 19.9966 | ETA 9.15h
I 15000 | L 1.0534 | P 2.844e+00 | Lt 1.0695 | Pt 2.890e+00 | H 23.1333 | ETA 8.89h
I 17500 | L 1.0444 | P 2.819e+00 | Lt 1.0589 | Pt 2.860e+00 | H 26.6042 | ETA 8.63h
I 20000 | L 1.0358 | P 2.795e+00 | Lt 1.0545 | Pt 2.847e+00 | H 29.6601 | ETA 8.37h
I 22500 | L 1.0293 | P 2.777e+00 | Lt 1.0485 | Pt 2.830e+00 | H 32.6783 | ETA 8.13h
I 25000 | L 1.0256 | P 2.767e+00 | Lt 1.0404 | Pt 2.808e+00 | H 35.5697 | ETA 7.87h
I 27500 | L 1.0206 | P 2.753e+00 | Lt 1.0378 | Pt 2.800e+00 | H 39.1030 | ETA 7.61h
I 30000 | L 1.0189 | P 2.748e+00 | Lt 1.0356 | Pt 2.794e+00 | H 42.8057 | ETA 7.35h
I 32500 | L 1.0163 | P 2.741e+00 | Lt 1.0271 | Pt 2.771e+00 | H 46.4061 | ETA 7.09h
I 35000 | L 1.0098 | P 2.724e+00 | Lt 1.0242 | Pt 2.763e+00 | H 49.5501 | ETA 6.82h
I 37500 | L 1.0088 | P 2.721e+00 | Lt 1.0184 | Pt 2.747e+00 | H 52.7032 | ETA 6.56h
I 40000 | L 1.0045 | P 2.709e+00 | Lt 1.0162 | Pt 2.741e+00 | H 56.4455 | ETA 6.30h
I 42500 | L 1.0027 | P 2.705e+00 | Lt 1.0185 | Pt 2.747e+00 | H 60.7870 | ETA 6.03h
I 45000 | L 0.9993 | P 2.695e+00 | Lt 1.0163 | Pt 2.741e+00 | H 63.7387 | ETA 5.77h
I 47500 | L 0.9997 | P 2.697e+00 | Lt 1.0138 | Pt 2.735e+00 | H 67.0290 | ETA 5.51h
I 50000 | L 0.9950 | P 2.684e+00 | Lt 1.0090 | Pt 2.722e+00 | H 71.3843 | ETA 5.24h
I 52500 | L 0.9950 | P 2.684e+00 | Lt 1.0122 | Pt 2.730e+00 | H 75.2850 | ETA 4.98h
I 55000 | L 0.9959 | P 2.686e+00 | Lt 1.0067 | Pt 2.715e+00 | H 78.7300 | ETA 4.72h
I 57500 | L 0.9904 | P 2.672e+00 | Lt 1.0056 | Pt 2.712e+00 | H 83.7696 | ETA 4.46h
I 60000 | L 0.9929 | P 2.678e+00 | Lt 1.0028 | Pt 2.705e+00 | H 87.4326 | ETA 4.19h
I 62500 | L 0.9895 | P 2.669e+00 | Lt 1.0043 | Pt 2.709e+00 | H 89.2117 | ETA 3.93h
I 65000 | L 0.9876 | P 2.664e+00 | Lt 0.9982 | Pt 2.693e+00 | H 94.3898 | ETA 3.67h
I 67500 | L 0.9880 | P 2.665e+00 | Lt 0.9983 | Pt 2.693e+00 | H 99.9390 | ETA 3.41h
I 70000 | L 0.9828 | P 2.652e+00 | Lt 0.9974 | Pt 2.690e+00 | H 102.6173 | ETA 3.14h
I 72500 | L 0.9861 | P 2.660e+00 | Lt 0.9974 | Pt 2.690e+00 | H 107.4180 | ETA 2.88h
I 75000 | L 0.9837 | P 2.654e+00 | Lt 0.9954 | Pt 2.685e+00 | H 112.3691 | ETA 2.62h
I 77500 | L 0.9843 | P 2.656e+00 | Lt 0.9950 | Pt 2.684e+00 | H 116.7750 | ETA 2.36h
I 80000 | L 0.9821 | P 2.650e+00 | Lt 0.9895 | Pt 2.669e+00 | H 122.9349 | ETA 2.09h
I 82500 | L 0.9806 | P 2.646e+00 | Lt 0.9910 | Pt 2.673e+00 | H 126.0369 | ETA 1.83h
I 85000 | L 0.9807 | P 2.646e+00 | Lt 0.9914 | Pt 2.674e+00 | H 130.4598 | ETA 1.57h
I 87500 | L 0.9799 | P 2.644e+00 | Lt 0.9876 | Pt 2.664e+00 | H 136.1301 | ETA 1.31h
I 90000 | L 0.9760 | P 2.634e+00 | Lt 0.9873 | Pt 2.664e+00 | H 139.8214 | ETA 1.05h
I 92500 | L 0.9765 | P 2.635e+00 | Lt 0.9860 | Pt 2.660e+00 | H 147.2929 | ETA 0.78h
I 95000 | L 0.9750 | P 2.631e+00 | Lt 0.9858 | Pt 2.660e+00 | H 150.6417 | ETA 0.52h
I 97500 | L 0.9766 | P 2.635e+00 | Lt 0.9836 | Pt 2.654e+00 | H 154.9068 | ETA 0.26h
I 100000 | L 0.9718 | P 2.623e+00 | Lt 0.9840 | Pt 2.655e+00 | H 159.7116 | ETA 0.00h
I 100001 | L 0.9718 | P 2.623e+00 | Lt 0.9840 | Pt 2.655e+00
Finished training!
