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: 190480384.0
cola_params: 2107464
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: 6
neurons: 0
non_emb_flops: 187334656.0
non_emb_params: 2025544
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 4
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e4_k2_ffe1k2_all_but_last_l6-dm256-de-1-h-1-dh64-ttr1-001521
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_001521
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_e4_k2_ffe1k2_all_but_last_l6-dm256-de-1-h-1-dh64-ttr1-001521
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.3089 | P 3.665e+00 | Lt 1.3348 | Pt 3.760e+00 | H 3.9412 | ETA 4.58h
I 5000 | L 1.2414 | P 3.427e+00 | Lt 1.2611 | Pt 3.495e+00 | H 9.0943 | ETA 4.49h
I 7500 | L 1.2184 | P 3.350e+00 | Lt 1.2389 | Pt 3.419e+00 | H 13.8848 | ETA 4.41h
I 10000 | L 1.2022 | P 3.296e+00 | Lt 1.2220 | Pt 3.362e+00 | H 18.7059 | ETA 4.28h
I 12500 | L 1.1912 | P 3.261e+00 | Lt 1.2116 | Pt 3.327e+00 | H 23.0701 | ETA 4.15h
I 15000 | L 1.1856 | P 3.243e+00 | Lt 1.2079 | Pt 3.315e+00 | H 26.8108 | ETA 4.03h
I 17500 | L 1.1762 | P 3.213e+00 | Lt 1.2008 | Pt 3.292e+00 | H 31.0486 | ETA 3.90h
I 20000 | L 1.1795 | P 3.223e+00 | Lt 1.1927 | Pt 3.266e+00 | H 34.8883 | ETA 3.79h
I 22500 | L 1.1716 | P 3.198e+00 | Lt 1.1884 | Pt 3.252e+00 | H 38.1886 | ETA 3.66h
I 25000 | L 1.1693 | P 3.191e+00 | Lt 1.1901 | Pt 3.257e+00 | H 42.0236 | ETA 3.54h
I 27500 | L 1.1658 | P 3.180e+00 | Lt 1.1865 | Pt 3.246e+00 | H 45.7270 | ETA 3.42h
I 30000 | L 1.1645 | P 3.176e+00 | Lt 1.1840 | Pt 3.238e+00 | H 48.3796 | ETA 3.31h
I 32500 | L 1.1585 | P 3.157e+00 | Lt 1.1816 | Pt 3.230e+00 | H 52.4661 | ETA 3.20h
I 35000 | L 1.1595 | P 3.160e+00 | Lt 1.1834 | Pt 3.236e+00 | H 55.8146 | ETA 3.07h
I 37500 | L 1.1620 | P 3.168e+00 | Lt 1.1762 | Pt 3.213e+00 | H 58.6983 | ETA 2.95h
I 40000 | L 1.1589 | P 3.158e+00 | Lt 1.1767 | Pt 3.214e+00 | H 61.9962 | ETA 2.83h
I 42500 | L 1.1506 | P 3.132e+00 | Lt 1.1716 | Pt 3.198e+00 | H 65.1988 | ETA 2.71h
I 45000 | L 1.1517 | P 3.136e+00 | Lt 1.1734 | Pt 3.204e+00 | H 68.4519 | ETA 2.60h
I 47500 | L 1.1506 | P 3.132e+00 | Lt 1.1749 | Pt 3.209e+00 | H 71.5907 | ETA 2.48h
I 50000 | L 1.1464 | P 3.119e+00 | Lt 1.1718 | Pt 3.199e+00 | H 74.7373 | ETA 2.36h
I 52500 | L 1.1489 | P 3.127e+00 | Lt 1.1704 | Pt 3.194e+00 | H 79.1819 | ETA 2.24h
I 55000 | L 1.1461 | P 3.118e+00 | Lt 1.1666 | Pt 3.182e+00 | H 82.2227 | ETA 2.12h
I 57500 | L 1.1453 | P 3.116e+00 | Lt 1.1654 | Pt 3.178e+00 | H 84.5977 | ETA 2.01h
I 60000 | L 1.1467 | P 3.120e+00 | Lt 1.1674 | Pt 3.185e+00 | H 87.8280 | ETA 1.89h
I 62500 | L 1.1427 | P 3.108e+00 | Lt 1.1671 | Pt 3.184e+00 | H 91.0871 | ETA 1.77h
I 65000 | L 1.1431 | P 3.109e+00 | Lt 1.1673 | Pt 3.184e+00 | H 94.4630 | ETA 1.65h
I 67500 | L 1.1441 | P 3.112e+00 | Lt 1.1625 | Pt 3.169e+00 | H 97.4585 | ETA 1.53h
I 70000 | L 1.1435 | P 3.110e+00 | Lt 1.1610 | Pt 3.164e+00 | H 101.7679 | ETA 1.41h
I 72500 | L 1.1417 | P 3.104e+00 | Lt 1.1645 | Pt 3.175e+00 | H 104.8996 | ETA 1.30h
I 75000 | L 1.1414 | P 3.104e+00 | Lt 1.1596 | Pt 3.160e+00 | H 108.1903 | ETA 1.18h
I 77500 | L 1.1393 | P 3.097e+00 | Lt 1.1636 | Pt 3.173e+00 | H 112.0296 | ETA 1.06h
I 80000 | L 1.1428 | P 3.108e+00 | Lt 1.1598 | Pt 3.161e+00 | H 114.7202 | ETA 0.94h
I 82500 | L 1.1368 | P 3.090e+00 | Lt 1.1598 | Pt 3.161e+00 | H 117.8165 | ETA 0.83h
I 85000 | L 1.1409 | P 3.102e+00 | Lt 1.1596 | Pt 3.160e+00 | H 121.9284 | ETA 0.71h
I 87500 | L 1.1388 | P 3.096e+00 | Lt 1.1568 | Pt 3.151e+00 | H 125.2908 | ETA 0.59h
I 90000 | L 1.1366 | P 3.089e+00 | Lt 1.1609 | Pt 3.164e+00 | H 128.3529 | ETA 0.47h
I 92500 | L 1.1387 | P 3.095e+00 | Lt 1.1577 | Pt 3.154e+00 | H 132.9574 | ETA 0.35h
I 95000 | L 1.1372 | P 3.091e+00 | Lt 1.1568 | Pt 3.151e+00 | H 136.2153 | ETA 0.24h
I 97500 | L 1.1360 | P 3.087e+00 | Lt 1.1572 | Pt 3.153e+00 | H 138.9465 | ETA 0.12h
I 100000 | L 1.1339 | P 3.081e+00 | Lt 1.1528 | Pt 3.139e+00 | H 143.0190 | ETA 0.00h
I 100001 | L 1.1339 | P 3.081e+00 | Lt 1.1528 | Pt 3.139e+00
Finished training!
