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: 1599373312
cola_params: 77981568
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: 9
neurons: 0
non_emb_flops: 1596227584
non_emb_params: 77899648
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 16
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe16k2_all_but_last_l9-dm256-de-1-h-1-dh64-ttr1-174054
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_174054
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_ffe16k2_all_but_last_l9-dm256-de-1-h-1-dh64-ttr1-174054
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1866 | P 3.246e+00 | Lt 1.2059 | Pt 3.309e+00 | H 51.8681 | ETA 9.77h
I 5000 | L 1.1121 | P 3.015e+00 | Lt 1.1306 | Pt 3.071e+00 | H 121.3111 | ETA 9.55h
I 7500 | L 1.0818 | P 2.925e+00 | Lt 1.1039 | Pt 2.990e+00 | H 172.0465 | ETA 9.31h
I 10000 | L 1.0663 | P 2.881e+00 | Lt 1.0871 | Pt 2.941e+00 | H 210.4344 | ETA 9.06h
I 12500 | L 1.0511 | P 2.838e+00 | Lt 1.0710 | Pt 2.894e+00 | H 241.0409 | ETA 8.86h
I 15000 | L 1.0427 | P 2.814e+00 | Lt 1.0647 | Pt 2.876e+00 | H 273.4909 | ETA 8.60h
I 17500 | L 1.0357 | P 2.795e+00 | Lt 1.0574 | Pt 2.855e+00 | H 301.5331 | ETA 8.34h
I 20000 | L 1.0302 | P 2.779e+00 | Lt 1.0466 | Pt 2.825e+00 | H 325.9570 | ETA 8.10h
I 22500 | L 1.0239 | P 2.762e+00 | Lt 1.0413 | Pt 2.810e+00 | H 351.2318 | ETA 7.85h
I 25000 | L 1.0248 | P 2.765e+00 | Lt 1.0350 | Pt 2.793e+00 | H 377.0499 | ETA 7.58h
I 27500 | L 1.0153 | P 2.738e+00 | Lt 1.0347 | Pt 2.792e+00 | H 399.5852 | ETA 7.31h
I 30000 | L 1.0118 | P 2.729e+00 | Lt 1.0282 | Pt 2.774e+00 | H 416.0977 | ETA 7.06h
I 32500 | L 1.0115 | P 2.728e+00 | Lt 1.0270 | Pt 2.770e+00 | H 444.5302 | ETA 6.80h
I 35000 | L 1.0061 | P 2.714e+00 | Lt 1.0220 | Pt 2.757e+00 | H 464.3644 | ETA 6.56h
I 37500 | L 1.0035 | P 2.707e+00 | Lt 1.0215 | Pt 2.756e+00 | H 491.4457 | ETA 6.30h
I 40000 | L 1.0036 | P 2.707e+00 | Lt 1.0191 | Pt 2.749e+00 | H 508.8408 | ETA 6.05h
I 42500 | L 0.9983 | P 2.693e+00 | Lt 1.0152 | Pt 2.738e+00 | H 531.3797 | ETA 5.79h
I 45000 | L 1.0005 | P 2.699e+00 | Lt 1.0152 | Pt 2.738e+00 | H 553.1771 | ETA 5.54h
I 47500 | L 0.9955 | P 2.685e+00 | Lt 1.0088 | Pt 2.721e+00 | H 577.0898 | ETA 5.28h
I 50000 | L 0.9959 | P 2.686e+00 | Lt 1.0106 | Pt 2.726e+00 | H 603.7536 | ETA 5.03h
I 52500 | L 0.9970 | P 2.689e+00 | Lt 1.0071 | Pt 2.716e+00 | H 627.3530 | ETA 4.77h
I 55000 | L 0.9882 | P 2.666e+00 | Lt 1.0031 | Pt 2.706e+00 | H 647.5384 | ETA 4.52h
I 57500 | L 0.9907 | P 2.673e+00 | Lt 1.0052 | Pt 2.711e+00 | H 669.4432 | ETA 4.27h
I 60000 | L 0.9852 | P 2.658e+00 | Lt 1.0037 | Pt 2.707e+00 | H 696.4150 | ETA 4.01h
I 62500 | L 0.9874 | P 2.664e+00 | Lt 0.9991 | Pt 2.695e+00 | H 719.9369 | ETA 3.76h
I 65000 | L 0.9826 | P 2.651e+00 | Lt 1.0022 | Pt 2.703e+00 | H 742.8320 | ETA 3.51h
I 67500 | L 0.9845 | P 2.656e+00 | Lt 0.9981 | Pt 2.692e+00 | H 776.5186 | ETA 3.26h
I 70000 | L 0.9858 | P 2.660e+00 | Lt 0.9980 | Pt 2.692e+00 | H 804.1501 | ETA 3.01h
I 72500 | L 0.9840 | P 2.655e+00 | Lt 0.9954 | Pt 2.685e+00 | H 830.4218 | ETA 2.75h
I 75000 | L 0.9808 | P 2.646e+00 | Lt 0.9980 | Pt 2.692e+00 | H 865.1089 | ETA 2.50h
I 77500 | L 0.9822 | P 2.650e+00 | Lt 0.9962 | Pt 2.687e+00 | H 885.3820 | ETA 2.25h
I 80000 | L 0.9788 | P 2.641e+00 | Lt 0.9936 | Pt 2.680e+00 | H 924.5901 | ETA 2.00h
I 82500 | L 0.9811 | P 2.647e+00 | Lt 0.9938 | Pt 2.681e+00 | H 954.7636 | ETA 1.75h
I 85000 | L 0.9765 | P 2.635e+00 | Lt 0.9931 | Pt 2.679e+00 | H 979.0603 | ETA 1.50h
I 87500 | L 0.9805 | P 2.646e+00 | Lt 0.9892 | Pt 2.669e+00 | H 1010.3753 | ETA 1.25h
I 90000 | L 0.9751 | P 2.631e+00 | Lt 0.9876 | Pt 2.664e+00 | H 1039.0464 | ETA 1.00h
I 92500 | L 0.9786 | P 2.641e+00 | Lt 0.9884 | Pt 2.666e+00 | H 1061.0284 | ETA 0.75h
I 95000 | L 0.9746 | P 2.630e+00 | Lt 0.9876 | Pt 2.664e+00 | H 1095.3453 | ETA 0.50h
I 97500 | L 0.9723 | P 2.624e+00 | Lt 0.9854 | Pt 2.658e+00 | H 1150.1887 | ETA 0.25h
I 100000 | L 0.9739 | P 2.628e+00 | Lt 0.9841 | Pt 2.655e+00 | H 1158.2276 | ETA 0.00h
I 100001 | L 0.9739 | P 2.628e+00 | Lt 0.9841 | Pt 2.655e+00
Finished training!
