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: 1810104320.0
cola_params: 48298404
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: 3
neurons: 0
non_emb_flops: 1784938496.0
non_emb_params: 47643044
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 8
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_para_e8_k2_ffe1k2_all_but_last_l3-dm2048-de-1-h-1-dh64-ttr1-001418
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe_para
timestamp: 2024-05-19_001418
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_e8_k2_ffe1k2_all_but_last_l3-dm2048-de-1-h-1-dh64-ttr1-001418
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2049 | P 3.305e+00 | Lt 1.2239 | Pt 3.368e+00 | H 3.9552 | ETA 6.72h
I 5000 | L 1.1261 | P 3.057e+00 | Lt 1.1436 | Pt 3.110e+00 | H 8.9081 | ETA 6.58h
I 7500 | L 1.1007 | P 2.981e+00 | Lt 1.1122 | Pt 3.015e+00 | H 13.0078 | ETA 6.41h
I 10000 | L 1.0795 | P 2.919e+00 | Lt 1.0946 | Pt 2.963e+00 | H 17.1247 | ETA 6.25h
I 12500 | L 1.0633 | P 2.872e+00 | Lt 1.0842 | Pt 2.932e+00 | H 20.9916 | ETA 6.08h
I 15000 | L 1.0566 | P 2.853e+00 | Lt 1.0730 | Pt 2.900e+00 | H 24.6643 | ETA 5.91h
I 17500 | L 1.0498 | P 2.834e+00 | Lt 1.0647 | Pt 2.876e+00 | H 28.6771 | ETA 5.73h
I 20000 | L 1.0462 | P 2.824e+00 | Lt 1.0594 | Pt 2.861e+00 | H 32.8767 | ETA 5.56h
I 22500 | L 1.0368 | P 2.798e+00 | Lt 1.0493 | Pt 2.833e+00 | H 35.8895 | ETA 5.39h
I 25000 | L 1.0346 | P 2.792e+00 | Lt 1.0486 | Pt 2.831e+00 | H 40.2403 | ETA 5.21h
I 27500 | L 1.0262 | P 2.768e+00 | Lt 1.0446 | Pt 2.819e+00 | H 43.3975 | ETA 5.04h
I 30000 | L 1.0266 | P 2.770e+00 | Lt 1.0400 | Pt 2.807e+00 | H 46.9242 | ETA 4.87h
I 32500 | L 1.0218 | P 2.756e+00 | Lt 1.0381 | Pt 2.801e+00 | H 51.0362 | ETA 4.69h
I 35000 | L 1.0133 | P 2.733e+00 | Lt 1.0336 | Pt 2.789e+00 | H 55.1511 | ETA 4.52h
I 37500 | L 1.0181 | P 2.746e+00 | Lt 1.0313 | Pt 2.782e+00 | H 58.5074 | ETA 4.34h
I 40000 | L 1.0137 | P 2.734e+00 | Lt 1.0316 | Pt 2.783e+00 | H 62.5419 | ETA 4.17h
I 42500 | L 1.0144 | P 2.736e+00 | Lt 1.0299 | Pt 2.779e+00 | H 66.1990 | ETA 3.99h
I 45000 | L 1.0129 | P 2.732e+00 | Lt 1.0244 | Pt 2.763e+00 | H 70.5058 | ETA 3.82h
I 47500 | L 1.0079 | P 2.719e+00 | Lt 1.0230 | Pt 2.760e+00 | H 73.9414 | ETA 3.64h
I 50000 | L 1.0096 | P 2.723e+00 | Lt 1.0208 | Pt 2.754e+00 | H 77.2037 | ETA 3.47h
I 52500 | L 1.0069 | P 2.716e+00 | Lt 1.0167 | Pt 2.742e+00 | H 82.8316 | ETA 3.30h
I 55000 | L 1.0026 | P 2.704e+00 | Lt 1.0190 | Pt 2.749e+00 | H 85.1569 | ETA 3.12h
I 57500 | L 1.0023 | P 2.704e+00 | Lt 1.0132 | Pt 2.733e+00 | H 90.7283 | ETA 2.95h
I 60000 | L 1.0022 | P 2.703e+00 | Lt 1.0154 | Pt 2.739e+00 | H 93.8738 | ETA 2.78h
I 62500 | L 1.0015 | P 2.701e+00 | Lt 1.0126 | Pt 2.731e+00 | H 98.8467 | ETA 2.60h
I 65000 | L 0.9995 | P 2.696e+00 | Lt 1.0156 | Pt 2.739e+00 | H 102.2253 | ETA 2.43h
I 67500 | L 0.9993 | P 2.695e+00 | Lt 1.0164 | Pt 2.741e+00 | H 106.3677 | ETA 2.26h
I 70000 | L 0.9930 | P 2.679e+00 | Lt 1.0062 | Pt 2.714e+00 | H 111.3450 | ETA 2.08h
I 72500 | L 0.9942 | P 2.682e+00 | Lt 1.0089 | Pt 2.721e+00 | H 115.8512 | ETA 1.91h
I 75000 | L 0.9946 | P 2.683e+00 | Lt 1.0109 | Pt 2.727e+00 | H 120.5272 | ETA 1.74h
I 77500 | L 0.9962 | P 2.687e+00 | Lt 1.0093 | Pt 2.722e+00 | H 124.8743 | ETA 1.56h
I 80000 | L 0.9944 | P 2.682e+00 | Lt 1.0044 | Pt 2.709e+00 | H 128.9280 | ETA 1.39h
I 82500 | L 0.9928 | P 2.678e+00 | Lt 1.0069 | Pt 2.716e+00 | H 131.5757 | ETA 1.21h
I 85000 | L 0.9912 | P 2.674e+00 | Lt 1.0039 | Pt 2.708e+00 | H 137.7658 | ETA 1.04h
I 87500 | L 0.9897 | P 2.670e+00 | Lt 1.0011 | Pt 2.700e+00 | H 144.2370 | ETA 0.87h
I 90000 | L 0.9877 | P 2.665e+00 | Lt 1.0015 | Pt 2.701e+00 | H 147.6375 | ETA 0.69h
I 92500 | L 0.9891 | P 2.668e+00 | Lt 1.0003 | Pt 2.698e+00 | H 150.7171 | ETA 0.52h
I 95000 | L 0.9883 | P 2.666e+00 | Lt 0.9997 | Pt 2.697e+00 | H 156.3895 | ETA 0.35h
I 97500 | L 0.9896 | P 2.669e+00 | Lt 1.0007 | Pt 2.699e+00 | H 160.7069 | ETA 0.17h
I 100000 | L 0.9890 | P 2.668e+00 | Lt 0.9996 | Pt 2.696e+00 | H 167.0234 | ETA 0.00h
I 100001 | L 0.9890 | P 2.668e+00 | Lt 0.9996 | Pt 2.696e+00
Finished training!
