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: 1067352064
cola_params: 52015104
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 256
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: 57344
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: 24576
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: 1064206336
non_emb_params: 51933184
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 16
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe16k2_all_but_last_l6-dm256-de-1-h-1-dh64-ttr1-173122
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173122
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: dense_e0_k2_ffe16k2_all_but_last_l6-dm256-de-1-h-1-dh64-ttr1-173122
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1949 | P 3.273e+00 | Lt 1.2193 | Pt 3.353e+00 | H 49.6403 | ETA 6.90h
I 5000 | L 1.1280 | P 3.063e+00 | Lt 1.1436 | Pt 3.110e+00 | H 123.5113 | ETA 6.58h
I 7500 | L 1.1016 | P 2.984e+00 | Lt 1.1187 | Pt 3.034e+00 | H 177.8064 | ETA 6.36h
I 10000 | L 1.0801 | P 2.920e+00 | Lt 1.1003 | Pt 2.980e+00 | H 223.2246 | ETA 6.19h
I 12500 | L 1.0684 | P 2.887e+00 | Lt 1.0871 | Pt 2.941e+00 | H 267.0781 | ETA 6.02h
I 15000 | L 1.0609 | P 2.865e+00 | Lt 1.0791 | Pt 2.918e+00 | H 303.1177 | ETA 5.85h
I 17500 | L 1.0512 | P 2.838e+00 | Lt 1.0737 | Pt 2.902e+00 | H 337.4034 | ETA 5.69h
I 20000 | L 1.0471 | P 2.826e+00 | Lt 1.0641 | Pt 2.874e+00 | H 376.3100 | ETA 5.52h
I 22500 | L 1.0419 | P 2.812e+00 | Lt 1.0572 | Pt 2.855e+00 | H 410.3948 | ETA 5.34h
I 25000 | L 1.0357 | P 2.794e+00 | Lt 1.0528 | Pt 2.842e+00 | H 450.2508 | ETA 5.15h
I 27500 | L 1.0329 | P 2.787e+00 | Lt 1.0483 | Pt 2.830e+00 | H 477.1584 | ETA 4.97h
I 30000 | L 1.0292 | P 2.777e+00 | Lt 1.0433 | Pt 2.816e+00 | H 514.1602 | ETA 4.79h
I 32500 | L 1.0242 | P 2.763e+00 | Lt 1.0424 | Pt 2.813e+00 | H 544.8775 | ETA 4.61h
I 35000 | L 1.0235 | P 2.761e+00 | Lt 1.0407 | Pt 2.809e+00 | H 584.7441 | ETA 4.44h
I 37500 | L 1.0172 | P 2.744e+00 | Lt 1.0369 | Pt 2.798e+00 | H 613.2536 | ETA 4.26h
I 40000 | L 1.0183 | P 2.747e+00 | Lt 1.0352 | Pt 2.793e+00 | H 648.0243 | ETA 4.08h
I 42500 | L 1.0187 | P 2.748e+00 | Lt 1.0355 | Pt 2.794e+00 | H 692.9232 | ETA 3.91h
I 45000 | L 1.0131 | P 2.733e+00 | Lt 1.0296 | Pt 2.778e+00 | H 720.6966 | ETA 3.73h
I 47500 | L 1.0132 | P 2.733e+00 | Lt 1.0313 | Pt 2.782e+00 | H 759.0435 | ETA 3.55h
I 50000 | L 1.0127 | P 2.731e+00 | Lt 1.0267 | Pt 2.770e+00 | H 797.3434 | ETA 3.38h
I 52500 | L 1.0111 | P 2.727e+00 | Lt 1.0247 | Pt 2.764e+00 | H 829.2984 | ETA 3.21h
I 55000 | L 1.0061 | P 2.714e+00 | Lt 1.0235 | Pt 2.761e+00 | H 877.0619 | ETA 3.04h
I 57500 | L 1.0065 | P 2.715e+00 | Lt 1.0206 | Pt 2.753e+00 | H 920.0972 | ETA 2.87h
I 60000 | L 1.0091 | P 2.722e+00 | Lt 1.0216 | Pt 2.756e+00 | H 955.7108 | ETA 2.70h
I 62500 | L 1.0045 | P 2.709e+00 | Lt 1.0178 | Pt 2.745e+00 | H 990.8600 | ETA 2.53h
I 65000 | L 1.0037 | P 2.707e+00 | Lt 1.0189 | Pt 2.748e+00 | H 1033.2850 | ETA 2.36h
I 67500 | L 1.0040 | P 2.708e+00 | Lt 1.0194 | Pt 2.750e+00 | H 1080.0819 | ETA 2.19h
I 70000 | L 1.0026 | P 2.704e+00 | Lt 1.0169 | Pt 2.743e+00 | H 1127.9556 | ETA 2.02h
I 72500 | L 0.9988 | P 2.694e+00 | Lt 1.0186 | Pt 2.748e+00 | H 1167.9173 | ETA 1.85h
I 75000 | L 1.0032 | P 2.706e+00 | Lt 1.0122 | Pt 2.730e+00 | H 1213.7813 | ETA 1.68h
I 77500 | L 0.9984 | P 2.693e+00 | Lt 1.0150 | Pt 2.738e+00 | H 1266.4298 | ETA 1.51h
I 80000 | L 0.9998 | P 2.697e+00 | Lt 1.0115 | Pt 2.728e+00 | H 1318.0063 | ETA 1.34h
I 82500 | L 0.9980 | P 2.692e+00 | Lt 1.0079 | Pt 2.719e+00 | H 1348.7419 | ETA 1.18h
I 85000 | L 1.0002 | P 2.698e+00 | Lt 1.0122 | Pt 2.730e+00 | H 1387.6180 | ETA 1.01h
I 87500 | L 0.9958 | P 2.686e+00 | Lt 1.0047 | Pt 2.710e+00 | H 1447.1868 | ETA 0.84h
I 90000 | L 0.9961 | P 2.687e+00 | Lt 1.0060 | Pt 2.714e+00 | H 1491.0127 | ETA 0.67h
I 92500 | L 0.9940 | P 2.681e+00 | Lt 1.0033 | Pt 2.706e+00 | H 1536.5464 | ETA 0.50h
I 95000 | L 0.9952 | P 2.684e+00 | Lt 1.0032 | Pt 2.706e+00 | H 1604.4121 | ETA 0.34h
I 97500 | L 0.9910 | P 2.673e+00 | Lt 1.0050 | Pt 2.711e+00 | H 1641.1968 | ETA 0.17h
I 100000 | L 0.9901 | P 2.671e+00 | Lt 1.0095 | Pt 2.723e+00 | H 1674.2079 | ETA 0.00h
I 100001 | L 0.9901 | P 2.671e+00 | Lt 1.0095 | Pt 2.723e+00
Finished training!
