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: 1064992768
cola_params: 14247936
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: 1061847040
non_emb_params: 14166016
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-dm256-de-1-h-1-dh64-ttr1-173141
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173141
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-dm256-de-1-h-1-dh64-ttr1-173141
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2342 | P 3.403e+00 | Lt 1.2495 | Pt 3.455e+00 | H 40.3659 | ETA 3.15h
I 5000 | L 1.1610 | P 3.165e+00 | Lt 1.1846 | Pt 3.240e+00 | H 124.6697 | ETA 3.08h
I 7500 | L 1.1351 | P 3.084e+00 | Lt 1.1552 | Pt 3.146e+00 | H 195.9840 | ETA 2.99h
I 10000 | L 1.1188 | P 3.035e+00 | Lt 1.1378 | Pt 3.092e+00 | H 252.5054 | ETA 2.89h
I 12500 | L 1.1052 | P 2.994e+00 | Lt 1.1248 | Pt 3.053e+00 | H 320.3734 | ETA 2.79h
I 15000 | L 1.1002 | P 2.979e+00 | Lt 1.1161 | Pt 3.027e+00 | H 378.3383 | ETA 2.71h
I 17500 | L 1.0895 | P 2.948e+00 | Lt 1.1134 | Pt 3.019e+00 | H 439.5242 | ETA 2.62h
I 20000 | L 1.0876 | P 2.942e+00 | Lt 1.1000 | Pt 2.979e+00 | H 495.1843 | ETA 2.54h
I 22500 | L 1.0795 | P 2.919e+00 | Lt 1.0968 | Pt 2.969e+00 | H 557.3158 | ETA 2.46h
I 25000 | L 1.0785 | P 2.916e+00 | Lt 1.0954 | Pt 2.965e+00 | H 622.3923 | ETA 2.39h
I 27500 | L 1.0735 | P 2.901e+00 | Lt 1.0880 | Pt 2.944e+00 | H 680.4031 | ETA 2.31h
I 30000 | L 1.0701 | P 2.892e+00 | Lt 1.0906 | Pt 2.951e+00 | H 753.2322 | ETA 2.23h
I 32500 | L 1.0673 | P 2.884e+00 | Lt 1.0833 | Pt 2.930e+00 | H 817.4146 | ETA 2.15h
I 35000 | L 1.0645 | P 2.875e+00 | Lt 1.0834 | Pt 2.930e+00 | H 888.9486 | ETA 2.07h
I 37500 | L 1.0633 | P 2.872e+00 | Lt 1.0779 | Pt 2.914e+00 | H 951.0064 | ETA 1.99h
I 40000 | L 1.0602 | P 2.863e+00 | Lt 1.0782 | Pt 2.915e+00 | H 1013.8885 | ETA 1.91h
I 42500 | L 1.0585 | P 2.858e+00 | Lt 1.0768 | Pt 2.911e+00 | H 1075.6643 | ETA 1.82h
I 45000 | L 1.0570 | P 2.854e+00 | Lt 1.0717 | Pt 2.896e+00 | H 1161.2737 | ETA 1.74h
I 47500 | L 1.0579 | P 2.857e+00 | Lt 1.0710 | Pt 2.894e+00 | H 1230.8861 | ETA 1.66h
I 50000 | L 1.0513 | P 2.838e+00 | Lt 1.0716 | Pt 2.896e+00 | H 1306.3390 | ETA 1.58h
I 52500 | L 1.0532 | P 2.844e+00 | Lt 1.0676 | Pt 2.885e+00 | H 1381.7121 | ETA 1.50h
I 55000 | L 1.0553 | P 2.849e+00 | Lt 1.0687 | Pt 2.888e+00 | H 1454.0260 | ETA 1.42h
I 57500 | L 1.0473 | P 2.827e+00 | Lt 1.0667 | Pt 2.882e+00 | H 1531.2243 | ETA 1.34h
I 60000 | L 1.0505 | P 2.836e+00 | Lt 1.0658 | Pt 2.879e+00 | H 1629.9004 | ETA 1.26h
I 62500 | L 1.0497 | P 2.834e+00 | Lt 1.0643 | Pt 2.875e+00 | H 1725.0240 | ETA 1.18h
I 65000 | L 1.0471 | P 2.826e+00 | Lt 1.0651 | Pt 2.877e+00 | H 1811.5558 | ETA 1.10h
I 67500 | L 1.0436 | P 2.816e+00 | Lt 1.0625 | Pt 2.870e+00 | H 1884.8330 | ETA 1.02h
I 70000 | L 1.0465 | P 2.825e+00 | Lt 1.0598 | Pt 2.862e+00 | H 1985.8691 | ETA 0.94h
I 72500 | L 1.0425 | P 2.813e+00 | Lt 1.0595 | Pt 2.861e+00 | H 2076.4843 | ETA 0.86h
I 75000 | L 1.0453 | P 2.821e+00 | Lt 1.0615 | Pt 2.867e+00 | H 2159.5408 | ETA 0.78h
I 77500 | L 1.0398 | P 2.806e+00 | Lt 1.0561 | Pt 2.852e+00 | H 2258.4917 | ETA 0.70h
I 80000 | L 1.0390 | P 2.804e+00 | Lt 1.0566 | Pt 2.853e+00 | H 2330.2632 | ETA 0.62h
I 82500 | L 1.0383 | P 2.802e+00 | Lt 1.0576 | Pt 2.856e+00 | H 2440.7343 | ETA 0.54h
I 85000 | L 1.0409 | P 2.809e+00 | Lt 1.0589 | Pt 2.860e+00 | H 2547.8909 | ETA 0.47h
I 87500 | L 1.0394 | P 2.805e+00 | Lt 1.0546 | Pt 2.848e+00 | H 2625.1155 | ETA 0.39h
I 90000 | L 1.0385 | P 2.802e+00 | Lt 1.0538 | Pt 2.845e+00 | H 2732.8594 | ETA 0.31h
I 92500 | L 1.0370 | P 2.798e+00 | Lt 1.0532 | Pt 2.844e+00 | H 2855.7575 | ETA 0.23h
I 95000 | L 1.0350 | P 2.793e+00 | Lt 1.0516 | Pt 2.839e+00 | H 2927.3663 | ETA 0.15h
I 97500 | L 1.0327 | P 2.786e+00 | Lt 1.0519 | Pt 2.840e+00 | H 2992.9679 | ETA 0.08h
I 100000 | L 1.0359 | P 2.795e+00 | Lt 1.0472 | Pt 2.827e+00 | H 3122.8757 | ETA 0.00h
I 100001 | L 1.0359 | P 2.795e+00 | Lt 1.0472 | Pt 2.827e+00
Finished training!
