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: 5547229184.0
cola_params: 286465260
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 2048
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: 458752
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: 196608
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: 5522063360.0
non_emb_params: 285809900
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 16
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e16_k2_ffe1k2_all_but_last_l9-dm2048-de-1-h-1-dh64-ttr1-003959
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_003959
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: btt_norm_moe_para_e16_k2_ffe1k2_all_but_last_l9-dm2048-de-1-h-1-dh64-ttr1-003959
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1763 | P 3.213e+00 | Lt 1.1930 | Pt 3.267e+00 | H 4.5444 | ETA 19.28h
I 5000 | L 1.0861 | P 2.938e+00 | Lt 1.1041 | Pt 2.991e+00 | H 10.8232 | ETA 18.96h
I 7500 | L 1.0554 | P 2.850e+00 | Lt 1.0759 | Pt 2.908e+00 | H 17.2416 | ETA 18.53h
I 10000 | L 1.0330 | P 2.787e+00 | Lt 1.0526 | Pt 2.842e+00 | H 23.5560 | ETA 18.07h
I 12500 | L 1.0169 | P 2.743e+00 | Lt 1.0373 | Pt 2.799e+00 | H 29.7226 | ETA 17.59h
I 15000 | L 1.0136 | P 2.734e+00 | Lt 1.0278 | Pt 2.773e+00 | H 35.3287 | ETA 17.09h
I 17500 | L 1.0001 | P 2.698e+00 | Lt 1.0163 | Pt 2.741e+00 | H 41.4363 | ETA 16.60h
I 20000 | L 0.9916 | P 2.675e+00 | Lt 1.0082 | Pt 2.719e+00 | H 47.6118 | ETA 16.11h
I 22500 | L 0.9884 | P 2.666e+00 | Lt 1.0004 | Pt 2.698e+00 | H 53.4097 | ETA 15.61h
I 25000 | L 0.9807 | P 2.646e+00 | Lt 0.9991 | Pt 2.695e+00 | H 59.5530 | ETA 15.11h
I 27500 | L 0.9755 | P 2.633e+00 | Lt 0.9895 | Pt 2.669e+00 | H 64.7641 | ETA 14.60h
I 30000 | L 0.9775 | P 2.638e+00 | Lt 0.9867 | Pt 2.662e+00 | H 71.6926 | ETA 14.11h
I 32500 | L 0.9691 | P 2.616e+00 | Lt 0.9813 | Pt 2.648e+00 | H 77.3154 | ETA 13.58h
I 35000 | L 0.9653 | P 2.606e+00 | Lt 0.9764 | Pt 2.635e+00 | H 83.7472 | ETA 13.09h
I 37500 | L 0.9663 | P 2.608e+00 | Lt 0.9778 | Pt 2.639e+00 | H 87.5891 | ETA 12.59h
I 40000 | L 0.9608 | P 2.594e+00 | Lt 0.9718 | Pt 2.623e+00 | H 95.0431 | ETA 12.07h
I 42500 | L 0.9582 | P 2.588e+00 | Lt 0.9685 | Pt 2.614e+00 | H 100.9534 | ETA 11.57h
I 45000 | L 0.9563 | P 2.583e+00 | Lt 0.9683 | Pt 2.614e+00 | H 107.1107 | ETA 11.07h
I 47500 | L 0.9503 | P 2.568e+00 | Lt 0.9641 | Pt 2.603e+00 | H 115.5086 | ETA 10.57h
I 50000 | L 0.9506 | P 2.568e+00 | Lt 0.9593 | Pt 2.591e+00 | H 121.0743 | ETA 10.07h
I 52500 | L 0.9493 | P 2.565e+00 | Lt 0.9603 | Pt 2.593e+00 | H 127.4249 | ETA 9.56h
I 55000 | L 0.9485 | P 2.563e+00 | Lt 0.9562 | Pt 2.582e+00 | H 134.9315 | ETA 9.06h
I 57500 | L 0.9444 | P 2.553e+00 | Lt 0.9552 | Pt 2.580e+00 | H 140.4297 | ETA 8.56h
I 60000 | L 0.9427 | P 2.548e+00 | Lt 0.9532 | Pt 2.575e+00 | H 145.9746 | ETA 8.05h
I 62500 | L 0.9410 | P 2.544e+00 | Lt 0.9492 | Pt 2.565e+00 | H 152.8432 | ETA 7.55h
I 65000 | L 0.9401 | P 2.542e+00 | Lt 0.9496 | Pt 2.566e+00 | H 160.3360 | ETA 7.05h
I 67500 | L 0.9388 | P 2.538e+00 | Lt 0.9479 | Pt 2.561e+00 | H 168.6480 | ETA 6.55h
I 70000 | L 0.9348 | P 2.528e+00 | Lt 0.9487 | Pt 2.563e+00 | H 173.1763 | ETA 6.04h
I 72500 | L 0.9352 | P 2.529e+00 | Lt 0.9462 | Pt 2.557e+00 | H 181.1127 | ETA 5.54h
I 75000 | L 0.9392 | P 2.539e+00 | Lt 0.9423 | Pt 2.547e+00 | H 187.5771 | ETA 5.03h
I 77500 | L 0.9340 | P 2.526e+00 | Lt 0.9395 | Pt 2.540e+00 | H 195.5196 | ETA 4.53h
I 80000 | L 0.9321 | P 2.522e+00 | Lt 0.9414 | Pt 2.545e+00 | H 202.6681 | ETA 4.03h
I 82500 | L 0.9360 | P 2.531e+00 | Lt 0.9394 | Pt 2.540e+00 | H 208.2635 | ETA 3.52h
I 85000 | L 0.9317 | P 2.521e+00 | Lt 0.9406 | Pt 2.543e+00 | H 216.0617 | ETA 3.02h
I 87500 | L 0.9277 | P 2.511e+00 | Lt 0.9398 | Pt 2.541e+00 | H 222.2753 | ETA 2.52h
I 90000 | L 0.9293 | P 2.515e+00 | Lt 0.9363 | Pt 2.532e+00 | H 231.0083 | ETA 2.01h
I 92500 | L 0.9277 | P 2.511e+00 | Lt 0.9389 | Pt 2.539e+00 | H 239.8348 | ETA 1.51h
I 95000 | L 0.9282 | P 2.512e+00 | Lt 0.9347 | Pt 2.528e+00 | H 246.6122 | ETA 1.01h
I 97500 | L 0.9277 | P 2.511e+00 | Lt 0.9324 | Pt 2.522e+00 | H 252.9832 | ETA 0.50h
I 100000 | L 0.9217 | P 2.496e+00 | Lt 0.9300 | Pt 2.516e+00 | H 262.7195 | ETA 0.00h
I 100001 | L 0.9217 | P 2.496e+00 | Lt 0.9300 | Pt 2.516e+00
Finished training!
