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: 2075721728
cola_params: 53657472
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_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: 3
neurons: 0
non_emb_flops: 2069430272
non_emb_params: 53493632
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 8
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe8k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191050
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-14_191050
total_tokens: 6017506009
tt_dim: 2
tt_rank: 1
val: moe_gpt
vocab_size: 96
wandb_log: True
wandb_project: moe_gpt
wandb_run_name: dense_e0_k2_ffe8k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191050
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2047 | P 3.305e+00 | Lt 1.2296 | Pt 3.387e+00 | H 30.3337 | ETA 2.22h
I 5000 | L 1.1364 | P 3.088e+00 | Lt 1.1522 | Pt 3.137e+00 | H 72.7513 | ETA 2.19h
I 7500 | L 1.1049 | P 2.993e+00 | Lt 1.1228 | Pt 3.047e+00 | H 106.2367 | ETA 2.14h
I 10000 | L 1.0876 | P 2.942e+00 | Lt 1.1078 | Pt 3.002e+00 | H 137.7218 | ETA 2.08h
I 12500 | L 1.0738 | P 2.902e+00 | Lt 1.0930 | Pt 2.958e+00 | H 166.6036 | ETA 2.03h
I 15000 | L 1.0637 | P 2.873e+00 | Lt 1.0815 | Pt 2.924e+00 | H 195.6100 | ETA 1.97h
I 17500 | L 1.0582 | P 2.858e+00 | Lt 1.0737 | Pt 2.902e+00 | H 224.5756 | ETA 1.91h
I 20000 | L 1.0585 | P 2.859e+00 | Lt 1.0741 | Pt 2.903e+00 | H 255.9204 | ETA 1.86h
I 22500 | L 1.0505 | P 2.836e+00 | Lt 1.0655 | Pt 2.878e+00 | H 279.4161 | ETA 1.79h
I 25000 | L 1.0461 | P 2.824e+00 | Lt 1.0610 | Pt 2.866e+00 | H 312.0082 | ETA 1.73h
I 27500 | L 1.0399 | P 2.806e+00 | Lt 1.0550 | Pt 2.849e+00 | H 338.5030 | ETA 1.67h
I 30000 | L 1.0380 | P 2.801e+00 | Lt 1.0518 | Pt 2.840e+00 | H 373.8768 | ETA 1.61h
I 32500 | L 1.0340 | P 2.790e+00 | Lt 1.0458 | Pt 2.823e+00 | H 402.8473 | ETA 1.56h
I 35000 | L 1.0319 | P 2.784e+00 | Lt 1.0450 | Pt 2.820e+00 | H 432.1891 | ETA 1.50h
I 37500 | L 1.0283 | P 2.774e+00 | Lt 1.0457 | Pt 2.822e+00 | H 460.2754 | ETA 1.44h
I 40000 | L 1.0272 | P 2.771e+00 | Lt 1.0414 | Pt 2.811e+00 | H 495.7690 | ETA 1.38h
I 42500 | L 1.0282 | P 2.774e+00 | Lt 1.0386 | Pt 2.803e+00 | H 523.4739 | ETA 1.32h
I 45000 | L 1.0233 | P 2.760e+00 | Lt 1.0406 | Pt 2.808e+00 | H 548.4043 | ETA 1.26h
I 47500 | L 1.0224 | P 2.758e+00 | Lt 1.0354 | Pt 2.794e+00 | H 586.2186 | ETA 1.21h
I 50000 | L 1.0207 | P 2.753e+00 | Lt 1.0339 | Pt 2.790e+00 | H 615.1430 | ETA 1.15h
I 52500 | L 1.0158 | P 2.740e+00 | Lt 1.0318 | Pt 2.784e+00 | H 651.1183 | ETA 1.09h
I 55000 | L 1.0168 | P 2.743e+00 | Lt 1.0289 | Pt 2.776e+00 | H 681.4383 | ETA 1.03h
I 57500 | L 1.0141 | P 2.735e+00 | Lt 1.0322 | Pt 2.785e+00 | H 725.6388 | ETA 0.97h
I 60000 | L 1.0134 | P 2.733e+00 | Lt 1.0316 | Pt 2.783e+00 | H 751.6291 | ETA 0.91h
I 62500 | L 1.0152 | P 2.738e+00 | Lt 1.0253 | Pt 2.766e+00 | H 785.8688 | ETA 0.86h
I 65000 | L 1.0118 | P 2.729e+00 | Lt 1.0255 | Pt 2.766e+00 | H 816.7990 | ETA 0.80h
I 67500 | L 1.0130 | P 2.732e+00 | Lt 1.0271 | Pt 2.771e+00 | H 850.0393 | ETA 0.74h
I 70000 | L 1.0098 | P 2.724e+00 | Lt 1.0263 | Pt 2.769e+00 | H 895.7402 | ETA 0.68h
I 72500 | L 1.0082 | P 2.719e+00 | Lt 1.0212 | Pt 2.755e+00 | H 923.2700 | ETA 0.63h
I 75000 | L 1.0110 | P 2.727e+00 | Lt 1.0232 | Pt 2.760e+00 | H 956.6281 | ETA 0.57h
I 77500 | L 1.0099 | P 2.724e+00 | Lt 1.0205 | Pt 2.753e+00 | H 992.3516 | ETA 0.51h
I 80000 | L 1.0062 | P 2.714e+00 | Lt 1.0217 | Pt 2.756e+00 | H 1021.8904 | ETA 0.45h
I 82500 | L 1.0044 | P 2.709e+00 | Lt 1.0191 | Pt 2.749e+00 | H 1068.9475 | ETA 0.40h
I 85000 | L 1.0050 | P 2.711e+00 | Lt 1.0165 | Pt 2.742e+00 | H 1086.1230 | ETA 0.34h
I 87500 | L 1.0014 | P 2.701e+00 | Lt 1.0171 | Pt 2.743e+00 | H 1134.4449 | ETA 0.28h
I 90000 | L 0.9991 | P 2.695e+00 | Lt 1.0159 | Pt 2.740e+00 | H 1149.4555 | ETA 0.23h
I 92500 | L 1.0051 | P 2.711e+00 | Lt 1.0136 | Pt 2.734e+00 | H 1207.6075 | ETA 0.17h
I 95000 | L 1.0022 | P 2.703e+00 | Lt 1.0150 | Pt 2.738e+00 | H 1229.2740 | ETA 0.11h
I 97500 | L 1.0002 | P 2.698e+00 | Lt 1.0140 | Pt 2.735e+00 | H 1276.5610 | ETA 0.06h
I 100000 | L 1.0010 | P 2.700e+00 | Lt 1.0083 | Pt 2.720e+00 | H 1298.5487 | ETA 0.00h
I 100001 | L 1.0010 | P 2.700e+00 | Lt 1.0083 | Pt 2.720e+00
Finished training!
