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: 738328576
cola_params: 64135680
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 1024
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: 229376
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: 98304
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: 725745664
non_emb_params: 63808000
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 32
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_e32_k2_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-193954
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe
timestamp: 2024-05-14_193954
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: btt_norm_moe_e32_k2_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-193954
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2292 | P 3.386e+00 | Lt 1.2519 | Pt 3.463e+00 | H 4.1877 | ETA 59.19h
I 5000 | L 1.1399 | P 3.099e+00 | Lt 1.1620 | Pt 3.168e+00 | H 5.3572 | ETA 58.04h
I 7500 | L 1.1118 | P 3.014e+00 | Lt 1.1286 | Pt 3.064e+00 | H 6.6032 | ETA 56.45h
I 10000 | L 1.0884 | P 2.945e+00 | Lt 1.1122 | Pt 3.015e+00 | H 7.7808 | ETA 54.67h
I 12500 | L 1.0757 | P 2.908e+00 | Lt 1.0948 | Pt 2.963e+00 | H 8.9538 | ETA 53.18h
I 15000 | L 1.0690 | P 2.889e+00 | Lt 1.0817 | Pt 2.925e+00 | H 10.1515 | ETA 51.66h
I 17500 | L 1.0610 | P 2.866e+00 | Lt 1.0751 | Pt 2.906e+00 | H 11.3826 | ETA 50.15h
I 20000 | L 1.0535 | P 2.844e+00 | Lt 1.0725 | Pt 2.898e+00 | H 12.7849 | ETA 48.73h
I 22500 | L 1.0449 | P 2.820e+00 | Lt 1.0646 | Pt 2.876e+00 | H 13.9140 | ETA 47.18h
I 25000 | L 1.0447 | P 2.820e+00 | Lt 1.0566 | Pt 2.853e+00 | H 15.1275 | ETA 45.63h
I 27500 | L 1.0375 | P 2.800e+00 | Lt 1.0542 | Pt 2.846e+00 | H 16.4593 | ETA 44.07h
I 30000 | L 1.0332 | P 2.788e+00 | Lt 1.0501 | Pt 2.835e+00 | H 17.8481 | ETA 42.51h
I 32500 | L 1.0287 | P 2.775e+00 | Lt 1.0458 | Pt 2.823e+00 | H 19.0833 | ETA 40.93h
I 35000 | L 1.0270 | P 2.770e+00 | Lt 1.0415 | Pt 2.811e+00 | H 20.6500 | ETA 39.35h
I 37500 | L 1.0259 | P 2.768e+00 | Lt 1.0419 | Pt 2.812e+00 | H 21.8461 | ETA 37.80h
I 40000 | L 1.0208 | P 2.753e+00 | Lt 1.0367 | Pt 2.797e+00 | H 23.1586 | ETA 36.26h
I 42500 | L 1.0199 | P 2.751e+00 | Lt 1.0354 | Pt 2.794e+00 | H 24.8224 | ETA 34.72h
I 45000 | L 1.0190 | P 2.749e+00 | Lt 1.0320 | Pt 2.784e+00 | H 25.9867 | ETA 33.23h
I 47500 | L 1.0141 | P 2.735e+00 | Lt 1.0336 | Pt 2.789e+00 | H 27.4733 | ETA 31.68h
I 50000 | L 1.0130 | P 2.732e+00 | Lt 1.0289 | Pt 2.776e+00 | H 29.0184 | ETA 30.17h
I 52500 | L 1.0141 | P 2.735e+00 | Lt 1.0249 | Pt 2.765e+00 | H 30.9902 | ETA 28.65h
I 55000 | L 1.0091 | P 2.722e+00 | Lt 1.0259 | Pt 2.767e+00 | H 32.2528 | ETA 27.15h
I 57500 | L 1.0107 | P 2.726e+00 | Lt 1.0208 | Pt 2.754e+00 | H 33.3002 | ETA 25.64h
I 60000 | L 1.0095 | P 2.723e+00 | Lt 1.0257 | Pt 2.767e+00 | H 35.4355 | ETA 24.12h
I 62500 | L 1.0065 | P 2.715e+00 | Lt 1.0198 | Pt 2.751e+00 | H 36.8974 | ETA 22.60h
I 65000 | L 1.0053 | P 2.712e+00 | Lt 1.0190 | Pt 2.749e+00 | H 38.5321 | ETA 21.09h
I 67500 | L 1.0047 | P 2.710e+00 | Lt 1.0172 | Pt 2.744e+00 | H 40.3366 | ETA 19.57h
I 70000 | L 1.0041 | P 2.708e+00 | Lt 1.0131 | Pt 2.733e+00 | H 41.7693 | ETA 18.06h
I 72500 | L 1.0001 | P 2.698e+00 | Lt 1.0155 | Pt 2.739e+00 | H 43.4189 | ETA 16.55h
I 75000 | L 1.0023 | P 2.704e+00 | Lt 1.0138 | Pt 2.734e+00 | H 45.2469 | ETA 15.04h
I 77500 | L 0.9960 | P 2.687e+00 | Lt 1.0120 | Pt 2.730e+00 | H 46.8622 | ETA 13.54h
I 80000 | L 1.0010 | P 2.700e+00 | Lt 1.0132 | Pt 2.733e+00 | H 48.8657 | ETA 12.03h
I 82500 | L 0.9926 | P 2.678e+00 | Lt 1.0113 | Pt 2.728e+00 | H 50.3519 | ETA 10.52h
I 85000 | L 0.9948 | P 2.683e+00 | Lt 1.0121 | Pt 2.730e+00 | H 52.2271 | ETA 9.02h
I 87500 | L 0.9956 | P 2.686e+00 | Lt 1.0108 | Pt 2.726e+00 | H 53.8134 | ETA 7.52h
I 90000 | L 0.9954 | P 2.685e+00 | Lt 1.0078 | Pt 2.718e+00 | H 56.5877 | ETA 6.02h
I 92500 | L 0.9911 | P 2.674e+00 | Lt 1.0082 | Pt 2.719e+00 | H 57.5769 | ETA 4.51h
I 95000 | L 0.9962 | P 2.687e+00 | Lt 1.0034 | Pt 2.706e+00 | H 60.1392 | ETA 3.01h
I 97500 | L 0.9939 | P 2.681e+00 | Lt 1.0049 | Pt 2.711e+00 | H 61.2836 | ETA 1.50h
I 100000 | L 0.9937 | P 2.681e+00 | Lt 1.0047 | Pt 2.710e+00 | H 63.9102 | ETA 0.00h
I 100001 | L 0.9937 | P 2.681e+00 | Lt 1.0047 | Pt 2.710e+00
Finished training!
