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: 16339566592
cola_params: 226858752
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: 16326983680
non_emb_params: 226531072
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-dm1024-de-1-h-1-dh64-ttr1-173815
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173815
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-dm1024-de-1-h-1-dh64-ttr1-173815
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1736 | P 3.204e+00 | Lt 1.1937 | Pt 3.269e+00 | H 26.1019 | ETA 4.59h
I 5000 | L 1.0940 | P 2.961e+00 | Lt 1.1116 | Pt 3.013e+00 | H 61.4389 | ETA 4.62h
I 7500 | L 1.0626 | P 2.870e+00 | Lt 1.0809 | Pt 2.923e+00 | H 84.8672 | ETA 4.57h
I 10000 | L 1.0395 | P 2.805e+00 | Lt 1.0633 | Pt 2.872e+00 | H 105.0890 | ETA 4.49h
I 12500 | L 1.0253 | P 2.766e+00 | Lt 1.0469 | Pt 2.826e+00 | H 127.0338 | ETA 4.39h
I 15000 | L 1.0155 | P 2.739e+00 | Lt 1.0303 | Pt 2.780e+00 | H 144.3012 | ETA 4.28h
I 17500 | L 1.0035 | P 2.707e+00 | Lt 1.0176 | Pt 2.745e+00 | H 166.9792 | ETA 4.16h
I 20000 | L 0.9982 | P 2.692e+00 | Lt 1.0160 | Pt 2.741e+00 | H 190.4251 | ETA 4.04h
I 22500 | L 0.9924 | P 2.677e+00 | Lt 1.0136 | Pt 2.734e+00 | H 206.2654 | ETA 3.92h
I 25000 | L 0.9881 | P 2.666e+00 | Lt 1.0018 | Pt 2.702e+00 | H 230.0066 | ETA 3.79h
I 27500 | L 0.9861 | P 2.660e+00 | Lt 0.9971 | Pt 2.690e+00 | H 252.5984 | ETA 3.67h
I 30000 | L 0.9804 | P 2.645e+00 | Lt 0.9945 | Pt 2.683e+00 | H 276.9809 | ETA 3.55h
I 32500 | L 0.9776 | P 2.638e+00 | Lt 0.9878 | Pt 2.665e+00 | H 296.4076 | ETA 3.42h
I 35000 | L 0.9721 | P 2.624e+00 | Lt 0.9830 | Pt 2.652e+00 | H 318.2507 | ETA 3.30h
I 37500 | L 0.9725 | P 2.625e+00 | Lt 0.9807 | Pt 2.646e+00 | H 341.9263 | ETA 3.17h
I 40000 | L 0.9657 | P 2.607e+00 | Lt 0.9802 | Pt 2.645e+00 | H 368.9176 | ETA 3.03h
I 42500 | L 0.9644 | P 2.604e+00 | Lt 0.9769 | Pt 2.636e+00 | H 393.7195 | ETA 2.91h
I 45000 | L 0.9615 | P 2.596e+00 | Lt 0.9749 | Pt 2.631e+00 | H 422.7374 | ETA 2.78h
I 47500 | L 0.9598 | P 2.592e+00 | Lt 0.9693 | Pt 2.616e+00 | H 445.7305 | ETA 2.66h
I 50000 | L 0.9577 | P 2.587e+00 | Lt 0.9728 | Pt 2.625e+00 | H 471.7047 | ETA 2.53h
I 52500 | L 0.9554 | P 2.581e+00 | Lt 0.9659 | Pt 2.608e+00 | H 488.2824 | ETA 2.40h
I 55000 | L 0.9552 | P 2.580e+00 | Lt 0.9634 | Pt 2.601e+00 | H 526.1742 | ETA 2.28h
I 57500 | L 0.9540 | P 2.577e+00 | Lt 0.9609 | Pt 2.595e+00 | H 544.2108 | ETA 2.15h
I 60000 | L 0.9543 | P 2.578e+00 | Lt 0.9586 | Pt 2.589e+00 | H 579.9731 | ETA 2.03h
I 62500 | L 0.9486 | P 2.563e+00 | Lt 0.9593 | Pt 2.591e+00 | H 609.7950 | ETA 1.90h
I 65000 | L 0.9466 | P 2.558e+00 | Lt 0.9574 | Pt 2.586e+00 | H 628.6696 | ETA 1.77h
I 67500 | L 0.9446 | P 2.553e+00 | Lt 0.9592 | Pt 2.590e+00 | H 653.2501 | ETA 1.64h
I 70000 | L 0.9453 | P 2.555e+00 | Lt 0.9552 | Pt 2.580e+00 | H 696.1390 | ETA 1.52h
I 72500 | L 0.9435 | P 2.550e+00 | Lt 0.9548 | Pt 2.579e+00 | H 718.4678 | ETA 1.39h
I 75000 | L 0.9357 | P 2.531e+00 | Lt 0.9536 | Pt 2.576e+00 | H 736.9621 | ETA 1.26h
I 77500 | L 0.9409 | P 2.544e+00 | Lt 0.9511 | Pt 2.570e+00 | H 768.8441 | ETA 1.14h
I 80000 | L 0.9385 | P 2.538e+00 | Lt 0.9515 | Pt 2.571e+00 | H 805.3177 | ETA 1.01h
I 82500 | L 0.9420 | P 2.546e+00 | Lt 0.9476 | Pt 2.561e+00 | H 833.7936 | ETA 0.88h
I 85000 | L 0.9389 | P 2.539e+00 | Lt 0.9439 | Pt 2.551e+00 | H 862.6980 | ETA 0.75h
I 87500 | L 0.9399 | P 2.541e+00 | Lt 0.9454 | Pt 2.555e+00 | H 882.6971 | ETA 0.63h
I 90000 | L 0.9374 | P 2.535e+00 | Lt 0.9424 | Pt 2.547e+00 | H 929.1623 | ETA 0.50h
I 92500 | L 0.9323 | P 2.522e+00 | Lt 0.9460 | Pt 2.557e+00 | H 957.1966 | ETA 0.37h
I 95000 | L 0.9340 | P 2.526e+00 | Lt 0.9412 | Pt 2.544e+00 | H 985.2097 | ETA 0.25h
I 97500 | L 0.9344 | P 2.527e+00 | Lt 0.9425 | Pt 2.548e+00 | H 1021.5276 | ETA 0.12h
I 100000 | L 0.9335 | P 2.525e+00 | Lt 0.9381 | Pt 2.537e+00 | H 1046.5771 | ETA 0.00h
I 100001 | L 0.9335 | P 2.525e+00 | Lt 0.9381 | Pt 2.537e+00
Finished training!
