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: 8181121024
cola_params: 415620480
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: 3
neurons: 0
non_emb_flops: 8168538112
non_emb_params: 415292800
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_l3-dm1024-de-1-h-1-dh64-ttr1-172817
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_172817
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_l3-dm1024-de-1-h-1-dh64-ttr1-172817
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1737 | P 3.205e+00 | Lt 1.1936 | Pt 3.268e+00 | H 27.1344 | ETA 4.24h
I 5000 | L 1.0980 | P 2.973e+00 | Lt 1.1210 | Pt 3.041e+00 | H 54.2767 | ETA 4.29h
I 7500 | L 1.0691 | P 2.889e+00 | Lt 1.0850 | Pt 2.935e+00 | H 73.4193 | ETA 4.30h
I 10000 | L 1.0489 | P 2.831e+00 | Lt 1.0673 | Pt 2.883e+00 | H 89.7005 | ETA 4.23h
I 12500 | L 1.0343 | P 2.791e+00 | Lt 1.0533 | Pt 2.844e+00 | H 102.3071 | ETA 4.14h
I 15000 | L 1.0278 | P 2.773e+00 | Lt 1.0397 | Pt 2.806e+00 | H 118.0727 | ETA 4.05h
I 17500 | L 1.0181 | P 2.746e+00 | Lt 1.0339 | Pt 2.790e+00 | H 130.4341 | ETA 3.94h
I 20000 | L 1.0085 | P 2.720e+00 | Lt 1.0241 | Pt 2.762e+00 | H 143.4918 | ETA 3.84h
I 22500 | L 1.0042 | P 2.709e+00 | Lt 1.0225 | Pt 2.758e+00 | H 153.9744 | ETA 3.74h
I 25000 | L 1.0020 | P 2.703e+00 | Lt 1.0152 | Pt 2.738e+00 | H 166.4341 | ETA 3.63h
I 27500 | L 0.9952 | P 2.685e+00 | Lt 1.0087 | Pt 2.721e+00 | H 179.2858 | ETA 3.52h
I 30000 | L 0.9920 | P 2.676e+00 | Lt 1.0029 | Pt 2.705e+00 | H 192.7988 | ETA 3.40h
I 32500 | L 0.9890 | P 2.668e+00 | Lt 1.0022 | Pt 2.703e+00 | H 203.1538 | ETA 3.29h
I 35000 | L 0.9880 | P 2.665e+00 | Lt 0.9999 | Pt 2.697e+00 | H 221.2510 | ETA 3.19h
I 37500 | L 0.9835 | P 2.653e+00 | Lt 0.9931 | Pt 2.679e+00 | H 231.3709 | ETA 3.07h
I 40000 | L 0.9807 | P 2.646e+00 | Lt 0.9924 | Pt 2.677e+00 | H 245.2292 | ETA 2.95h
I 42500 | L 0.9789 | P 2.641e+00 | Lt 0.9862 | Pt 2.661e+00 | H 260.5184 | ETA 2.83h
I 45000 | L 0.9754 | P 2.632e+00 | Lt 0.9859 | Pt 2.660e+00 | H 272.3941 | ETA 2.71h
I 47500 | L 0.9747 | P 2.630e+00 | Lt 0.9813 | Pt 2.648e+00 | H 288.7899 | ETA 2.59h
I 50000 | L 0.9717 | P 2.623e+00 | Lt 0.9795 | Pt 2.643e+00 | H 301.5463 | ETA 2.47h
I 52500 | L 0.9685 | P 2.614e+00 | Lt 0.9816 | Pt 2.649e+00 | H 318.4724 | ETA 2.35h
I 55000 | L 0.9675 | P 2.612e+00 | Lt 0.9764 | Pt 2.635e+00 | H 326.7437 | ETA 2.23h
I 57500 | L 0.9680 | P 2.613e+00 | Lt 0.9766 | Pt 2.635e+00 | H 350.2094 | ETA 2.10h
I 60000 | L 0.9630 | P 2.600e+00 | Lt 0.9736 | Pt 2.628e+00 | H 352.8410 | ETA 1.97h
I 62500 | L 0.9616 | P 2.596e+00 | Lt 0.9714 | Pt 2.622e+00 | H 370.8276 | ETA 1.85h
I 65000 | L 0.9590 | P 2.590e+00 | Lt 0.9721 | Pt 2.624e+00 | H 387.5469 | ETA 1.73h
I 67500 | L 0.9596 | P 2.591e+00 | Lt 0.9689 | Pt 2.615e+00 | H 393.9737 | ETA 1.60h
I 70000 | L 0.9554 | P 2.581e+00 | Lt 0.9685 | Pt 2.614e+00 | H 417.3644 | ETA 1.47h
I 72500 | L 0.9574 | P 2.586e+00 | Lt 0.9650 | Pt 2.605e+00 | H 435.1220 | ETA 1.35h
I 75000 | L 0.9538 | P 2.576e+00 | Lt 0.9651 | Pt 2.606e+00 | H 447.9983 | ETA 1.22h
I 77500 | L 0.9505 | P 2.568e+00 | Lt 0.9640 | Pt 2.603e+00 | H 455.4682 | ETA 1.10h
I 80000 | L 0.9519 | P 2.572e+00 | Lt 0.9623 | Pt 2.598e+00 | H 465.7517 | ETA 0.98h
I 82500 | L 0.9540 | P 2.577e+00 | Lt 0.9647 | Pt 2.604e+00 | H 486.1956 | ETA 0.85h
I 85000 | L 0.9532 | P 2.575e+00 | Lt 0.9593 | Pt 2.590e+00 | H 501.9054 | ETA 0.73h
I 87500 | L 0.9489 | P 2.564e+00 | Lt 0.9586 | Pt 2.589e+00 | H 513.2377 | ETA 0.61h
I 90000 | L 0.9496 | P 2.566e+00 | Lt 0.9561 | Pt 2.582e+00 | H 527.6815 | ETA 0.49h
I 92500 | L 0.9479 | P 2.561e+00 | Lt 0.9550 | Pt 2.579e+00 | H 543.5426 | ETA 0.36h
I 95000 | L 0.9477 | P 2.561e+00 | Lt 0.9538 | Pt 2.576e+00 | H 568.8446 | ETA 0.24h
I 97500 | L 0.9485 | P 2.563e+00 | Lt 0.9561 | Pt 2.582e+00 | H 567.0645 | ETA 0.12h
I 100000 | L 0.9486 | P 2.563e+00 | Lt 0.9510 | Pt 2.569e+00 | H 587.6009 | ETA 0.00h
I 100001 | L 0.9486 | P 2.563e+00 | Lt 0.9510 | Pt 2.569e+00
Finished training!
