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: 284065792.0
cola_params: 3120108
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: 9
neurons: 0
non_emb_flops: 280920064.0
non_emb_params: 3038188
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_l9-dm256-de-1-h-1-dh64-ttr1-010518
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_010518
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_l9-dm256-de-1-h-1-dh64-ttr1-010518
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.3015 | P 3.638e+00 | Lt 1.3248 | Pt 3.723e+00 | H 3.9112 | ETA 6.75h
I 5000 | L 1.2300 | P 3.389e+00 | Lt 1.2548 | Pt 3.473e+00 | H 7.4471 | ETA 6.64h
I 7500 | L 1.2081 | P 3.316e+00 | Lt 1.2253 | Pt 3.373e+00 | H 10.8639 | ETA 6.59h
I 10000 | L 1.1903 | P 3.258e+00 | Lt 1.2103 | Pt 3.323e+00 | H 13.6640 | ETA 6.44h
I 12500 | L 1.1820 | P 3.231e+00 | Lt 1.1994 | Pt 3.287e+00 | H 16.7213 | ETA 6.24h
I 15000 | L 1.1722 | P 3.200e+00 | Lt 1.1944 | Pt 3.271e+00 | H 19.1454 | ETA 6.07h
I 17500 | L 1.1678 | P 3.186e+00 | Lt 1.1904 | Pt 3.258e+00 | H 21.7564 | ETA 5.87h
I 20000 | L 1.1618 | P 3.167e+00 | Lt 1.1790 | Pt 3.222e+00 | H 24.2148 | ETA 5.69h
I 22500 | L 1.1603 | P 3.162e+00 | Lt 1.1782 | Pt 3.219e+00 | H 26.1376 | ETA 5.53h
I 25000 | L 1.1574 | P 3.153e+00 | Lt 1.1768 | Pt 3.214e+00 | H 28.5724 | ETA 5.35h
I 27500 | L 1.1541 | P 3.143e+00 | Lt 1.1724 | Pt 3.201e+00 | H 30.7835 | ETA 5.16h
I 30000 | L 1.1531 | P 3.140e+00 | Lt 1.1702 | Pt 3.194e+00 | H 32.8668 | ETA 4.99h
I 32500 | L 1.1450 | P 3.115e+00 | Lt 1.1671 | Pt 3.184e+00 | H 35.0615 | ETA 4.81h
I 35000 | L 1.1427 | P 3.108e+00 | Lt 1.1677 | Pt 3.186e+00 | H 36.9082 | ETA 4.62h
I 37500 | L 1.1422 | P 3.106e+00 | Lt 1.1678 | Pt 3.186e+00 | H 39.6305 | ETA 4.45h
I 40000 | L 1.1393 | P 3.097e+00 | Lt 1.1573 | Pt 3.153e+00 | H 41.5920 | ETA 4.27h
I 42500 | L 1.1469 | P 3.121e+00 | Lt 1.1603 | Pt 3.162e+00 | H 43.2438 | ETA 4.10h
I 45000 | L 1.1362 | P 3.088e+00 | Lt 1.1585 | Pt 3.157e+00 | H 45.4872 | ETA 3.92h
I 47500 | L 1.1390 | P 3.096e+00 | Lt 1.1578 | Pt 3.154e+00 | H 47.7057 | ETA 3.75h
I 50000 | L 1.1358 | P 3.086e+00 | Lt 1.1562 | Pt 3.149e+00 | H 49.5227 | ETA 3.57h
I 52500 | L 1.1376 | P 3.092e+00 | Lt 1.1498 | Pt 3.129e+00 | H 52.2220 | ETA 3.39h
I 55000 | L 1.1314 | P 3.073e+00 | Lt 1.1560 | Pt 3.149e+00 | H 54.7847 | ETA 3.21h
I 57500 | L 1.1345 | P 3.082e+00 | Lt 1.1550 | Pt 3.146e+00 | H 56.0856 | ETA 3.03h
I 60000 | L 1.1299 | P 3.068e+00 | Lt 1.1489 | Pt 3.127e+00 | H 58.4138 | ETA 2.85h
I 62500 | L 1.1317 | P 3.074e+00 | Lt 1.1553 | Pt 3.147e+00 | H 60.0546 | ETA 2.67h
I 65000 | L 1.1285 | P 3.064e+00 | Lt 1.1541 | Pt 3.143e+00 | H 62.4900 | ETA 2.49h
I 67500 | L 1.1265 | P 3.058e+00 | Lt 1.1491 | Pt 3.127e+00 | H 63.4380 | ETA 2.32h
I 70000 | L 1.1245 | P 3.052e+00 | Lt 1.1490 | Pt 3.127e+00 | H 67.0153 | ETA 2.13h
I 72500 | L 1.1294 | P 3.067e+00 | Lt 1.1474 | Pt 3.122e+00 | H 68.3659 | ETA 1.96h
I 75000 | L 1.1247 | P 3.053e+00 | Lt 1.1465 | Pt 3.119e+00 | H 70.9052 | ETA 1.78h
I 77500 | L 1.1262 | P 3.057e+00 | Lt 1.1450 | Pt 3.115e+00 | H 72.3343 | ETA 1.60h
I 80000 | L 1.1276 | P 3.062e+00 | Lt 1.1438 | Pt 3.111e+00 | H 74.3263 | ETA 1.42h
I 82500 | L 1.1248 | P 3.053e+00 | Lt 1.1402 | Pt 3.100e+00 | H 76.4712 | ETA 1.25h
I 85000 | L 1.1184 | P 3.034e+00 | Lt 1.1450 | Pt 3.115e+00 | H 79.4167 | ETA 1.07h
I 87500 | L 1.1217 | P 3.043e+00 | Lt 1.1456 | Pt 3.117e+00 | H 80.9446 | ETA 0.89h
I 90000 | L 1.1229 | P 3.047e+00 | Lt 1.1414 | Pt 3.104e+00 | H 83.2718 | ETA 0.71h
I 92500 | L 1.1225 | P 3.046e+00 | Lt 1.1417 | Pt 3.105e+00 | H 85.0796 | ETA 0.54h
I 95000 | L 1.1210 | P 3.042e+00 | Lt 1.1427 | Pt 3.108e+00 | H 86.7514 | ETA 0.36h
I 97500 | L 1.1239 | P 3.050e+00 | Lt 1.1406 | Pt 3.101e+00 | H 88.6638 | ETA 0.18h
I 100000 | L 1.1182 | P 3.033e+00 | Lt 1.1366 | Pt 3.089e+00 | H 92.4037 | ETA 0.00h
I 100001 | L 1.1182 | P 3.033e+00 | Lt 1.1366 | Pt 3.089e+00
Finished training!
