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: 16342712320
cola_params: 428209920
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 1024
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: 229376
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: 98304
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: 16330129408
non_emb_params: 427882240
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_l6-dm1024-de-1-h-1-dh64-ttr1-173834
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173834
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_ffe8k2_all_but_last_l6-dm1024-de-1-h-1-dh64-ttr1-173834
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1633 | P 3.172e+00 | Lt 1.1801 | Pt 3.225e+00 | H 29.6579 | ETA 5.99h
I 5000 | L 1.0826 | P 2.928e+00 | Lt 1.0999 | Pt 2.978e+00 | H 60.8773 | ETA 6.10h
I 7500 | L 1.0467 | P 2.825e+00 | Lt 1.0631 | Pt 2.871e+00 | H 81.1031 | ETA 6.06h
I 10000 | L 1.0279 | P 2.773e+00 | Lt 1.0461 | Pt 2.824e+00 | H 98.2873 | ETA 5.98h
I 12500 | L 1.0155 | P 2.739e+00 | Lt 1.0289 | Pt 2.776e+00 | H 116.0268 | ETA 5.84h
I 15000 | L 1.0020 | P 2.703e+00 | Lt 1.0152 | Pt 2.738e+00 | H 133.2683 | ETA 5.73h
I 17500 | L 0.9951 | P 2.684e+00 | Lt 1.0104 | Pt 2.725e+00 | H 149.0236 | ETA 5.64h
I 20000 | L 0.9863 | P 2.661e+00 | Lt 0.9993 | Pt 2.695e+00 | H 165.3861 | ETA 5.47h
I 22500 | L 0.9799 | P 2.644e+00 | Lt 0.9960 | Pt 2.687e+00 | H 182.8304 | ETA 5.30h
I 25000 | L 0.9760 | P 2.634e+00 | Lt 0.9903 | Pt 2.671e+00 | H 196.8527 | ETA 5.12h
I 27500 | L 0.9702 | P 2.619e+00 | Lt 0.9829 | Pt 2.652e+00 | H 211.6617 | ETA 4.95h
I 30000 | L 0.9662 | P 2.608e+00 | Lt 0.9795 | Pt 2.643e+00 | H 227.0582 | ETA 4.79h
I 32500 | L 0.9645 | P 2.604e+00 | Lt 0.9723 | Pt 2.624e+00 | H 247.3018 | ETA 4.63h
I 35000 | L 0.9623 | P 2.598e+00 | Lt 0.9718 | Pt 2.623e+00 | H 263.2388 | ETA 4.45h
I 37500 | L 0.9509 | P 2.569e+00 | Lt 0.9678 | Pt 2.612e+00 | H 280.4532 | ETA 4.28h
I 40000 | L 0.9508 | P 2.569e+00 | Lt 0.9634 | Pt 2.601e+00 | H 293.4858 | ETA 4.11h
I 42500 | L 0.9515 | P 2.571e+00 | Lt 0.9602 | Pt 2.593e+00 | H 308.2180 | ETA 3.93h
I 45000 | L 0.9507 | P 2.568e+00 | Lt 0.9573 | Pt 2.586e+00 | H 330.5462 | ETA 3.74h
I 47500 | L 0.9465 | P 2.558e+00 | Lt 0.9564 | Pt 2.583e+00 | H 346.2454 | ETA 3.57h
I 50000 | L 0.9434 | P 2.550e+00 | Lt 0.9500 | Pt 2.567e+00 | H 358.4599 | ETA 3.40h
I 52500 | L 0.9423 | P 2.547e+00 | Lt 0.9504 | Pt 2.568e+00 | H 377.5421 | ETA 3.23h
I 55000 | L 0.9416 | P 2.545e+00 | Lt 0.9499 | Pt 2.567e+00 | H 398.1260 | ETA 3.06h
I 57500 | L 0.9381 | P 2.537e+00 | Lt 0.9445 | Pt 2.553e+00 | H 410.5476 | ETA 2.89h
I 60000 | L 0.9372 | P 2.534e+00 | Lt 0.9423 | Pt 2.547e+00 | H 428.9560 | ETA 2.72h
I 62500 | L 0.9364 | P 2.532e+00 | Lt 0.9426 | Pt 2.548e+00 | H 451.9990 | ETA 2.55h
I 65000 | L 0.9319 | P 2.521e+00 | Lt 0.9428 | Pt 2.549e+00 | H 462.0129 | ETA 2.38h
I 67500 | L 0.9291 | P 2.514e+00 | Lt 0.9414 | Pt 2.545e+00 | H 482.5782 | ETA 2.21h
I 70000 | L 0.9319 | P 2.521e+00 | Lt 0.9445 | Pt 2.553e+00 | H 505.5805 | ETA 2.04h
I 72500 | L 0.9276 | P 2.510e+00 | Lt 0.9348 | Pt 2.528e+00 | H 517.4055 | ETA 1.86h
I 75000 | L 0.9254 | P 2.505e+00 | Lt 0.9392 | Pt 2.539e+00 | H 538.3784 | ETA 1.69h
I 77500 | L 0.9257 | P 2.506e+00 | Lt 0.9339 | Pt 2.526e+00 | H 562.2479 | ETA 1.52h
I 80000 | L 0.9246 | P 2.503e+00 | Lt 0.9317 | Pt 2.520e+00 | H 570.9304 | ETA 1.35h
I 82500 | L 0.9240 | P 2.501e+00 | Lt 0.9313 | Pt 2.519e+00 | H 590.5913 | ETA 1.18h
I 85000 | L 0.9241 | P 2.502e+00 | Lt 0.9274 | Pt 2.510e+00 | H 613.4678 | ETA 1.01h
I 87500 | L 0.9224 | P 2.497e+00 | Lt 0.9283 | Pt 2.512e+00 | H 623.7571 | ETA 0.84h
I 90000 | L 0.9223 | P 2.497e+00 | Lt 0.9269 | Pt 2.509e+00 | H 641.1566 | ETA 0.67h
I 92500 | L 0.9177 | P 2.486e+00 | Lt 0.9268 | Pt 2.508e+00 | H 669.3187 | ETA 0.50h
I 95000 | L 0.9188 | P 2.488e+00 | Lt 0.9253 | Pt 2.505e+00 | H 688.6339 | ETA 0.34h
I 97500 | L 0.9158 | P 2.481e+00 | Lt 0.9221 | Pt 2.497e+00 | H 697.2986 | ETA 0.17h
I 100000 | L 0.9209 | P 2.494e+00 | Lt 0.9265 | Pt 2.508e+00 | H 718.0468 | ETA 0.00h
I 100001 | L 0.9209 | P 2.494e+00 | Lt 0.9265 | Pt 2.508e+00
Finished training!
