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: 4143251456
cola_params: 56806656
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: 4136960000
non_emb_params: 56642816
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 4
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe4k2_all_but_last_l6-dm512-de-1-h-1-dh64-ttr1-173241
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173241
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_ffe4k2_all_but_last_l6-dm512-de-1-h-1-dh64-ttr1-173241
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1968 | P 3.279e+00 | Lt 1.2140 | Pt 3.335e+00 | H 31.5522 | ETA 3.30h
I 5000 | L 1.1186 | P 3.034e+00 | Lt 1.1362 | Pt 3.088e+00 | H 83.4519 | ETA 3.21h
I 7500 | L 1.0874 | P 2.942e+00 | Lt 1.1091 | Pt 3.006e+00 | H 121.1061 | ETA 3.13h
I 10000 | L 1.0683 | P 2.887e+00 | Lt 1.0865 | Pt 2.939e+00 | H 156.2872 | ETA 3.03h
I 12500 | L 1.0561 | P 2.852e+00 | Lt 1.0723 | Pt 2.898e+00 | H 190.4058 | ETA 2.95h
I 15000 | L 1.0451 | P 2.821e+00 | Lt 1.0629 | Pt 2.871e+00 | H 228.4441 | ETA 2.85h
I 17500 | L 1.0397 | P 2.806e+00 | Lt 1.0541 | Pt 2.846e+00 | H 262.9666 | ETA 2.76h
I 20000 | L 1.0332 | P 2.788e+00 | Lt 1.0537 | Pt 2.845e+00 | H 303.3879 | ETA 2.66h
I 22500 | L 1.0266 | P 2.769e+00 | Lt 1.0426 | Pt 2.814e+00 | H 336.6005 | ETA 2.58h
I 25000 | L 1.0232 | P 2.760e+00 | Lt 1.0374 | Pt 2.799e+00 | H 376.9629 | ETA 2.50h
I 27500 | L 1.0204 | P 2.753e+00 | Lt 1.0343 | Pt 2.791e+00 | H 415.6809 | ETA 2.41h
I 30000 | L 1.0181 | P 2.746e+00 | Lt 1.0335 | Pt 2.788e+00 | H 455.6052 | ETA 2.32h
I 32500 | L 1.0109 | P 2.727e+00 | Lt 1.0301 | Pt 2.779e+00 | H 493.0412 | ETA 2.24h
I 35000 | L 1.0098 | P 2.724e+00 | Lt 1.0230 | Pt 2.760e+00 | H 537.9132 | ETA 2.16h
I 37500 | L 1.0073 | P 2.717e+00 | Lt 1.0235 | Pt 2.761e+00 | H 578.4515 | ETA 2.07h
I 40000 | L 1.0043 | P 2.709e+00 | Lt 1.0202 | Pt 2.752e+00 | H 624.8244 | ETA 1.99h
I 42500 | L 1.0021 | P 2.703e+00 | Lt 1.0178 | Pt 2.745e+00 | H 668.8865 | ETA 1.91h
I 45000 | L 1.0012 | P 2.700e+00 | Lt 1.0140 | Pt 2.735e+00 | H 701.3451 | ETA 1.82h
I 47500 | L 0.9983 | P 2.693e+00 | Lt 1.0122 | Pt 2.730e+00 | H 753.9786 | ETA 1.74h
I 50000 | L 0.9985 | P 2.693e+00 | Lt 1.0104 | Pt 2.725e+00 | H 810.1037 | ETA 1.66h
I 52500 | L 0.9945 | P 2.683e+00 | Lt 1.0047 | Pt 2.710e+00 | H 844.7076 | ETA 1.57h
I 55000 | L 0.9938 | P 2.681e+00 | Lt 1.0043 | Pt 2.709e+00 | H 891.2410 | ETA 1.49h
I 57500 | L 0.9920 | P 2.676e+00 | Lt 1.0060 | Pt 2.713e+00 | H 937.8999 | ETA 1.40h
I 60000 | L 0.9889 | P 2.668e+00 | Lt 1.0026 | Pt 2.704e+00 | H 977.2123 | ETA 1.32h
I 62500 | L 0.9904 | P 2.672e+00 | Lt 1.0076 | Pt 2.718e+00 | H 1031.2955 | ETA 1.24h
I 65000 | L 0.9883 | P 2.666e+00 | Lt 1.0025 | Pt 2.704e+00 | H 1083.8605 | ETA 1.15h
I 67500 | L 0.9828 | P 2.652e+00 | Lt 0.9982 | Pt 2.693e+00 | H 1130.5854 | ETA 1.07h
I 70000 | L 0.9866 | P 2.662e+00 | Lt 0.9960 | Pt 2.687e+00 | H 1180.4885 | ETA 0.99h
I 72500 | L 0.9868 | P 2.662e+00 | Lt 0.9975 | Pt 2.691e+00 | H 1244.2316 | ETA 0.90h
I 75000 | L 0.9814 | P 2.648e+00 | Lt 0.9931 | Pt 2.679e+00 | H 1307.2407 | ETA 0.82h
I 77500 | L 0.9773 | P 2.637e+00 | Lt 0.9933 | Pt 2.679e+00 | H 1353.0956 | ETA 0.74h
I 80000 | L 0.9812 | P 2.647e+00 | Lt 0.9934 | Pt 2.680e+00 | H 1414.9859 | ETA 0.65h
I 82500 | L 0.9835 | P 2.654e+00 | Lt 0.9935 | Pt 2.680e+00 | H 1454.5524 | ETA 0.57h
I 85000 | L 0.9751 | P 2.631e+00 | Lt 0.9930 | Pt 2.679e+00 | H 1511.0553 | ETA 0.49h
I 87500 | L 0.9776 | P 2.638e+00 | Lt 0.9907 | Pt 2.673e+00 | H 1558.8134 | ETA 0.41h
I 90000 | L 0.9787 | P 2.641e+00 | Lt 0.9904 | Pt 2.672e+00 | H 1624.0051 | ETA 0.33h
I 92500 | L 0.9732 | P 2.627e+00 | Lt 0.9878 | Pt 2.665e+00 | H 1670.3187 | ETA 0.24h
I 95000 | L 0.9750 | P 2.631e+00 | Lt 0.9880 | Pt 2.666e+00 | H 1748.4514 | ETA 0.16h
I 97500 | L 0.9738 | P 2.628e+00 | Lt 0.9874 | Pt 2.664e+00 | H 1775.2848 | ETA 0.08h
I 100000 | L 0.9749 | P 2.631e+00 | Lt 0.9865 | Pt 2.661e+00 | H 1864.3061 | ETA 0.00h
I 100001 | L 0.9749 | P 2.631e+00 | Lt 0.9865 | Pt 2.661e+00
Finished training!
