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: 16349003776
cola_params: 830912256
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_btt_case_proj: (n|d|n|d)
head_btt_case_qkv: (n|d|n|d)
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: 6
neurons: 0
non_emb_flops: 16336420864
non_emb_params: 830584576
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 16
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe16k2_all_but_last_l6-dm1024-de-1-h-1-dh64-ttr1-173847
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-18_173847
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: dense_e0_k2_ffe16k2_all_but_last_l6-dm1024-de-1-h-1-dh64-ttr1-173847
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1568 | P 3.151e+00 | Lt 1.1722 | Pt 3.200e+00 | H 35.5988 | ETA 8.92h
I 5000 | L 1.0756 | P 2.907e+00 | Lt 1.0928 | Pt 2.957e+00 | H 65.9252 | ETA 9.21h
I 7500 | L 1.0402 | P 2.807e+00 | Lt 1.0610 | Pt 2.866e+00 | H 84.7462 | ETA 9.20h
I 10000 | L 1.0198 | P 2.751e+00 | Lt 1.0376 | Pt 2.800e+00 | H 101.4086 | ETA 9.09h
I 12500 | L 1.0061 | P 2.714e+00 | Lt 1.0196 | Pt 2.750e+00 | H 112.1991 | ETA 8.92h
I 15000 | L 0.9955 | P 2.685e+00 | Lt 1.0088 | Pt 2.721e+00 | H 124.4132 | ETA 8.73h
I 17500 | L 0.9839 | P 2.655e+00 | Lt 1.0007 | Pt 2.699e+00 | H 136.9943 | ETA 8.50h
I 20000 | L 0.9772 | P 2.637e+00 | Lt 0.9922 | Pt 2.677e+00 | H 148.5101 | ETA 8.26h
I 22500 | L 0.9740 | P 2.629e+00 | Lt 0.9843 | Pt 2.656e+00 | H 161.2217 | ETA 8.01h
I 25000 | L 0.9653 | P 2.606e+00 | Lt 0.9783 | Pt 2.640e+00 | H 171.5795 | ETA 7.77h
I 27500 | L 0.9601 | P 2.593e+00 | Lt 0.9691 | Pt 2.616e+00 | H 180.3143 | ETA 7.52h
I 30000 | L 0.9574 | P 2.586e+00 | Lt 0.9662 | Pt 2.608e+00 | H 194.6077 | ETA 7.27h
I 32500 | L 0.9555 | P 2.581e+00 | Lt 0.9638 | Pt 2.602e+00 | H 206.3220 | ETA 7.02h
I 35000 | L 0.9507 | P 2.569e+00 | Lt 0.9638 | Pt 2.602e+00 | H 217.2230 | ETA 6.76h
I 37500 | L 0.9472 | P 2.560e+00 | Lt 0.9563 | Pt 2.583e+00 | H 228.3443 | ETA 6.51h
I 40000 | L 0.9461 | P 2.557e+00 | Lt 0.9522 | Pt 2.572e+00 | H 238.9173 | ETA 6.25h
I 42500 | L 0.9407 | P 2.543e+00 | Lt 0.9507 | Pt 2.569e+00 | H 250.9628 | ETA 6.00h
I 45000 | L 0.9414 | P 2.545e+00 | Lt 0.9455 | Pt 2.555e+00 | H 256.0080 | ETA 5.75h
I 47500 | L 0.9382 | P 2.537e+00 | Lt 0.9445 | Pt 2.553e+00 | H 267.0580 | ETA 5.45h
I 50000 | L 0.9340 | P 2.526e+00 | Lt 0.9399 | Pt 2.541e+00 | H 282.3354 | ETA 5.19h
I 52500 | L 0.9340 | P 2.526e+00 | Lt 0.9375 | Pt 2.535e+00 | H 296.2558 | ETA 4.93h
I 55000 | L 0.9299 | P 2.516e+00 | Lt 0.9392 | Pt 2.539e+00 | H 307.5995 | ETA 4.68h
I 57500 | L 0.9269 | P 2.509e+00 | Lt 0.9374 | Pt 2.535e+00 | H 317.3910 | ETA 4.42h
I 60000 | L 0.9262 | P 2.507e+00 | Lt 0.9341 | Pt 2.526e+00 | H 332.8327 | ETA 4.16h
I 62500 | L 0.9267 | P 2.508e+00 | Lt 0.9301 | Pt 2.517e+00 | H 342.7147 | ETA 3.91h
I 65000 | L 0.9250 | P 2.504e+00 | Lt 0.9297 | Pt 2.516e+00 | H 354.7914 | ETA 3.63h
I 67500 | L 0.9221 | P 2.497e+00 | Lt 0.9261 | Pt 2.507e+00 | H 359.6563 | ETA 3.37h
I 70000 | L 0.9185 | P 2.488e+00 | Lt 0.9233 | Pt 2.500e+00 | H 379.3595 | ETA 3.11h
I 72500 | L 0.9188 | P 2.489e+00 | Lt 0.9298 | Pt 2.516e+00 | H 384.9234 | ETA 2.86h
I 75000 | L 0.9169 | P 2.484e+00 | Lt 0.9254 | Pt 2.505e+00 | H 400.7393 | ETA 2.59h
I 77500 | L 0.9175 | P 2.485e+00 | Lt 0.9205 | Pt 2.493e+00 | H 416.4594 | ETA 2.33h
I 80000 | L 0.9174 | P 2.485e+00 | Lt 0.9167 | Pt 2.483e+00 | H 419.3017 | ETA 2.06h
I 82500 | L 0.9170 | P 2.484e+00 | Lt 0.9212 | Pt 2.494e+00 | H 431.5403 | ETA 1.80h
I 85000 | L 0.9138 | P 2.476e+00 | Lt 0.9159 | Pt 2.481e+00 | H 444.4330 | ETA 1.54h
I 87500 | L 0.9117 | P 2.471e+00 | Lt 0.9165 | Pt 2.483e+00 | H 456.6094 | ETA 1.29h
I 90000 | L 0.9128 | P 2.474e+00 | Lt 0.9191 | Pt 2.489e+00 | H 461.6227 | ETA 1.03h
I 92500 | L 0.9087 | P 2.464e+00 | Lt 0.9132 | Pt 2.475e+00 | H 474.0720 | ETA 0.77h
I 95000 | L 0.9090 | P 2.465e+00 | Lt 0.9119 | Pt 2.472e+00 | H 491.9721 | ETA 0.51h
I 97500 | L 0.9073 | P 2.460e+00 | Lt 0.9122 | Pt 2.472e+00 | H 501.4529 | ETA 0.26h
I 100000 | L 0.9069 | P 2.459e+00 | Lt 0.9123 | Pt 2.473e+00 | H 507.8551 | ETA 0.00h
I 100001 | L 0.9069 | P 2.459e+00 | Lt 0.9123 | Pt 2.473e+00
Finished training!
