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: 3687907328
cola_params: 104001408
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 512
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: 114688
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_params: 49152
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: 3681615872
non_emb_params: 103837568
num_active_experts: 2
num_active_ffn_experts: 4
num_blocks: 4
num_experts: 0
num_ffn_experts: 16
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe16k4_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191430
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-14_191430
total_tokens: 6017506009
tt_dim: 2
tt_rank: 1
val: moe_gpt
vocab_size: 96
wandb_log: True
wandb_project: moe_gpt
wandb_run_name: dense_e0_k2_ffe16k4_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191430
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1892 | P 3.254e+00 | Lt 1.2065 | Pt 3.311e+00 | H 34.7164 | ETA 3.79h
I 5000 | L 1.1175 | P 3.031e+00 | Lt 1.1404 | Pt 3.101e+00 | H 75.1457 | ETA 3.82h
I 7500 | L 1.0919 | P 2.955e+00 | Lt 1.1066 | Pt 2.998e+00 | H 104.4975 | ETA 3.79h
I 10000 | L 1.0706 | P 2.893e+00 | Lt 1.0905 | Pt 2.951e+00 | H 127.0985 | ETA 3.73h
I 12500 | L 1.0543 | P 2.846e+00 | Lt 1.0775 | Pt 2.913e+00 | H 149.0124 | ETA 3.63h
I 15000 | L 1.0509 | P 2.837e+00 | Lt 1.0667 | Pt 2.882e+00 | H 167.9679 | ETA 3.53h
I 17500 | L 1.0438 | P 2.817e+00 | Lt 1.0605 | Pt 2.864e+00 | H 187.6849 | ETA 3.43h
I 20000 | L 1.0375 | P 2.799e+00 | Lt 1.0533 | Pt 2.844e+00 | H 204.5262 | ETA 3.31h
I 22500 | L 1.0332 | P 2.787e+00 | Lt 1.0438 | Pt 2.817e+00 | H 222.8440 | ETA 3.20h
I 25000 | L 1.0274 | P 2.772e+00 | Lt 1.0437 | Pt 2.817e+00 | H 244.0259 | ETA 3.10h
I 27500 | L 1.0213 | P 2.755e+00 | Lt 1.0383 | Pt 2.802e+00 | H 262.6560 | ETA 2.99h
I 30000 | L 1.0176 | P 2.745e+00 | Lt 1.0344 | Pt 2.791e+00 | H 277.8690 | ETA 2.89h
I 32500 | L 1.0163 | P 2.741e+00 | Lt 1.0274 | Pt 2.772e+00 | H 297.5373 | ETA 2.80h
I 35000 | L 1.0132 | P 2.733e+00 | Lt 1.0276 | Pt 2.772e+00 | H 314.3546 | ETA 2.69h
I 37500 | L 1.0089 | P 2.721e+00 | Lt 1.0271 | Pt 2.771e+00 | H 334.0857 | ETA 2.58h
I 40000 | L 1.0075 | P 2.717e+00 | Lt 1.0227 | Pt 2.759e+00 | H 357.3819 | ETA 2.48h
I 42500 | L 1.0072 | P 2.717e+00 | Lt 1.0217 | Pt 2.756e+00 | H 370.8042 | ETA 2.37h
I 45000 | L 1.0046 | P 2.710e+00 | Lt 1.0167 | Pt 2.742e+00 | H 391.6944 | ETA 2.27h
I 47500 | L 1.0012 | P 2.701e+00 | Lt 1.0148 | Pt 2.737e+00 | H 414.5332 | ETA 2.16h
I 50000 | L 0.9976 | P 2.691e+00 | Lt 1.0128 | Pt 2.732e+00 | H 430.6313 | ETA 2.06h
I 52500 | L 0.9980 | P 2.692e+00 | Lt 1.0132 | Pt 2.733e+00 | H 449.9947 | ETA 1.95h
I 55000 | L 0.9980 | P 2.692e+00 | Lt 1.0121 | Pt 2.730e+00 | H 461.0468 | ETA 1.85h
I 57500 | L 0.9926 | P 2.678e+00 | Lt 1.0078 | Pt 2.718e+00 | H 487.5673 | ETA 1.74h
I 60000 | L 0.9954 | P 2.685e+00 | Lt 1.0070 | Pt 2.716e+00 | H 508.7144 | ETA 1.63h
I 62500 | L 0.9907 | P 2.673e+00 | Lt 1.0058 | Pt 2.713e+00 | H 528.8513 | ETA 1.53h
I 65000 | L 0.9925 | P 2.677e+00 | Lt 1.0043 | Pt 2.709e+00 | H 546.1870 | ETA 1.42h
I 67500 | L 0.9892 | P 2.668e+00 | Lt 1.0030 | Pt 2.705e+00 | H 572.9974 | ETA 1.32h
I 70000 | L 0.9929 | P 2.678e+00 | Lt 1.0029 | Pt 2.705e+00 | H 588.7165 | ETA 1.22h
I 72500 | L 0.9893 | P 2.669e+00 | Lt 1.0019 | Pt 2.702e+00 | H 612.5070 | ETA 1.12h
I 75000 | L 0.9849 | P 2.657e+00 | Lt 1.0005 | Pt 2.699e+00 | H 633.3133 | ETA 1.01h
I 77500 | L 0.9904 | P 2.672e+00 | Lt 0.9921 | Pt 2.676e+00 | H 649.4233 | ETA 0.91h
I 80000 | L 0.9868 | P 2.662e+00 | Lt 0.9952 | Pt 2.684e+00 | H 668.2532 | ETA 0.81h
I 82500 | L 0.9843 | P 2.656e+00 | Lt 0.9980 | Pt 2.692e+00 | H 680.2991 | ETA 0.71h
I 85000 | L 0.9833 | P 2.653e+00 | Lt 0.9945 | Pt 2.683e+00 | H 711.3615 | ETA 0.61h
I 87500 | L 0.9836 | P 2.654e+00 | Lt 0.9974 | Pt 2.690e+00 | H 726.4819 | ETA 0.50h
I 90000 | L 0.9808 | P 2.646e+00 | Lt 0.9938 | Pt 2.681e+00 | H 760.6261 | ETA 0.40h
I 92500 | L 0.9829 | P 2.652e+00 | Lt 0.9941 | Pt 2.682e+00 | H 768.3409 | ETA 0.30h
I 95000 | L 0.9795 | P 2.643e+00 | Lt 0.9891 | Pt 2.668e+00 | H 790.5904 | ETA 0.20h
I 97500 | L 0.9787 | P 2.641e+00 | Lt 0.9914 | Pt 2.674e+00 | H 809.7928 | ETA 0.10h
I 100000 | L 0.9806 | P 2.646e+00 | Lt 0.9927 | Pt 2.678e+00 | H 841.4890 | ETA 0.00h
I 100001 | L 0.9806 | P 2.646e+00 | Lt 0.9927 | Pt 2.678e+00
Finished training!
