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: 3691053056
cola_params: 204689280
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: 3684761600
non_emb_params: 204525440
num_active_experts: 2
num_active_ffn_experts: 4
num_blocks: 4
num_experts: 0
num_ffn_experts: 32
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe32k4_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191606
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-14_191606
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_ffe32k4_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191606
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1786 | P 3.220e+00 | Lt 1.2005 | Pt 3.291e+00 | H 37.5327 | ETA 6.26h
I 5000 | L 1.1058 | P 2.996e+00 | Lt 1.1231 | Pt 3.048e+00 | H 74.8588 | ETA 6.19h
I 7500 | L 1.0768 | P 2.911e+00 | Lt 1.0945 | Pt 2.962e+00 | H 96.4482 | ETA 6.07h
I 10000 | L 1.0585 | P 2.858e+00 | Lt 1.0773 | Pt 2.912e+00 | H 109.8738 | ETA 5.92h
I 12500 | L 1.0431 | P 2.815e+00 | Lt 1.0671 | Pt 2.883e+00 | H 124.3218 | ETA 5.75h
I 15000 | L 1.0346 | P 2.791e+00 | Lt 1.0534 | Pt 2.844e+00 | H 137.8773 | ETA 5.58h
I 17500 | L 1.0230 | P 2.760e+00 | Lt 1.0455 | Pt 2.822e+00 | H 147.2875 | ETA 5.41h
I 20000 | L 1.0254 | P 2.766e+00 | Lt 1.0368 | Pt 2.798e+00 | H 154.0214 | ETA 5.23h
I 22500 | L 1.0136 | P 2.734e+00 | Lt 1.0304 | Pt 2.780e+00 | H 170.2008 | ETA 5.02h
I 25000 | L 1.0094 | P 2.723e+00 | Lt 1.0274 | Pt 2.772e+00 | H 181.0845 | ETA 4.85h
I 27500 | L 1.0114 | P 2.728e+00 | Lt 1.0229 | Pt 2.759e+00 | H 191.3846 | ETA 4.70h
I 30000 | L 1.0021 | P 2.703e+00 | Lt 1.0164 | Pt 2.742e+00 | H 202.2190 | ETA 4.52h
I 32500 | L 1.0076 | P 2.718e+00 | Lt 1.0186 | Pt 2.748e+00 | H 214.5112 | ETA 4.36h
I 35000 | L 1.0005 | P 2.699e+00 | Lt 1.0086 | Pt 2.720e+00 | H 226.0264 | ETA 4.18h
I 37500 | L 0.9957 | P 2.686e+00 | Lt 1.0069 | Pt 2.716e+00 | H 234.6697 | ETA 4.02h
I 40000 | L 0.9923 | P 2.677e+00 | Lt 1.0061 | Pt 2.714e+00 | H 247.2037 | ETA 3.86h
I 42500 | L 0.9887 | P 2.667e+00 | Lt 1.0012 | Pt 2.701e+00 | H 261.4546 | ETA 3.70h
I 45000 | L 0.9871 | P 2.663e+00 | Lt 1.0014 | Pt 2.701e+00 | H 270.9317 | ETA 3.55h
I 47500 | L 0.9839 | P 2.654e+00 | Lt 1.0008 | Pt 2.699e+00 | H 281.9462 | ETA 3.39h
I 50000 | L 0.9859 | P 2.660e+00 | Lt 0.9968 | Pt 2.689e+00 | H 295.7851 | ETA 3.23h
I 52500 | L 0.9813 | P 2.648e+00 | Lt 0.9968 | Pt 2.689e+00 | H 307.4012 | ETA 3.05h
I 55000 | L 0.9807 | P 2.646e+00 | Lt 0.9918 | Pt 2.676e+00 | H 322.0730 | ETA 2.89h
I 57500 | L 0.9772 | P 2.637e+00 | Lt 0.9928 | Pt 2.678e+00 | H 329.6988 | ETA 2.73h
I 60000 | L 0.9777 | P 2.638e+00 | Lt 0.9884 | Pt 2.666e+00 | H 351.9281 | ETA 2.57h
I 62500 | L 0.9796 | P 2.643e+00 | Lt 0.9860 | Pt 2.660e+00 | H 361.2344 | ETA 2.41h
I 65000 | L 0.9795 | P 2.643e+00 | Lt 0.9868 | Pt 2.662e+00 | H 375.8924 | ETA 2.25h
I 67500 | L 0.9756 | P 2.633e+00 | Lt 0.9882 | Pt 2.666e+00 | H 388.5594 | ETA 2.08h
I 70000 | L 0.9738 | P 2.628e+00 | Lt 0.9866 | Pt 2.662e+00 | H 409.9197 | ETA 1.92h
I 72500 | L 0.9712 | P 2.621e+00 | Lt 0.9835 | Pt 2.653e+00 | H 404.3652 | ETA 1.76h
I 75000 | L 0.9717 | P 2.623e+00 | Lt 0.9799 | Pt 2.644e+00 | H 423.1680 | ETA 1.60h
I 77500 | L 0.9719 | P 2.623e+00 | Lt 0.9825 | Pt 2.651e+00 | H 424.9396 | ETA 1.44h
I 80000 | L 0.9708 | P 2.620e+00 | Lt 0.9773 | Pt 2.637e+00 | H 438.6599 | ETA 1.28h
I 82500 | L 0.9704 | P 2.619e+00 | Lt 0.9807 | Pt 2.646e+00 | H 458.7180 | ETA 1.12h
I 85000 | L 0.9643 | P 2.603e+00 | Lt 0.9759 | Pt 2.633e+00 | H 466.7653 | ETA 0.96h
I 87500 | L 0.9665 | P 2.609e+00 | Lt 0.9760 | Pt 2.634e+00 | H 489.2634 | ETA 0.80h
I 90000 | L 0.9645 | P 2.604e+00 | Lt 0.9739 | Pt 2.628e+00 | H 496.3268 | ETA 0.64h
I 92500 | L 0.9660 | P 2.608e+00 | Lt 0.9736 | Pt 2.628e+00 | H 513.6833 | ETA 0.48h
I 95000 | L 0.9640 | P 2.603e+00 | Lt 0.9715 | Pt 2.622e+00 | H 515.1504 | ETA 0.32h
I 97500 | L 0.9657 | P 2.607e+00 | Lt 0.9737 | Pt 2.628e+00 | H 528.8389 | ETA 0.16h
I 100000 | L 0.9637 | P 2.602e+00 | Lt 0.9717 | Pt 2.623e+00 | H 535.7808 | ETA 0.00h
I 100001 | L 0.9637 | P 2.602e+00 | Lt 0.9717 | Pt 2.623e+00
Finished training!
