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: 2080440320
cola_params: 204689280
compile: False
config_file: config/train_open_small.py
d_embd: -1
d_head: 64
d_model: 512
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: 114688
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: 49152
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: 2074148864
non_emb_params: 204525440
num_active_experts: 2
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 0
num_ffn_experts: 32
opt_name: AdamW
out_dir: /chkpt/dense_e0_k2_ffe32k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191606
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: dense
timestamp: 2024-05-14_191606
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: dense_e0_k2_ffe32k2_all_but_last_l3-dm512-de-1-h-1-dh64-ttr1-191606
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1805 | P 3.226e+00 | Lt 1.2026 | Pt 3.298e+00 | H 41.4178 | ETA 6.05h
I 5000 | L 1.1069 | P 2.999e+00 | Lt 1.1239 | Pt 3.050e+00 | H 85.9728 | ETA 6.02h
I 7500 | L 1.0788 | P 2.917e+00 | Lt 1.0963 | Pt 2.968e+00 | H 115.1526 | ETA 5.98h
I 10000 | L 1.0595 | P 2.861e+00 | Lt 1.0789 | Pt 2.917e+00 | H 137.1867 | ETA 5.84h
I 12500 | L 1.0435 | P 2.816e+00 | Lt 1.0679 | Pt 2.885e+00 | H 162.2923 | ETA 5.69h
I 15000 | L 1.0352 | P 2.793e+00 | Lt 1.0548 | Pt 2.848e+00 | H 180.1394 | ETA 5.53h
I 17500 | L 1.0247 | P 2.764e+00 | Lt 1.0472 | Pt 2.827e+00 | H 198.7169 | ETA 5.36h
I 20000 | L 1.0267 | P 2.770e+00 | Lt 1.0376 | Pt 2.800e+00 | H 218.6886 | ETA 5.20h
I 22500 | L 1.0153 | P 2.739e+00 | Lt 1.0318 | Pt 2.784e+00 | H 235.6177 | ETA 5.02h
I 25000 | L 1.0111 | P 2.727e+00 | Lt 1.0286 | Pt 2.775e+00 | H 253.6966 | ETA 4.85h
I 27500 | L 1.0133 | P 2.733e+00 | Lt 1.0245 | Pt 2.764e+00 | H 268.4269 | ETA 4.69h
I 30000 | L 1.0039 | P 2.708e+00 | Lt 1.0182 | Pt 2.746e+00 | H 285.6180 | ETA 4.50h
I 32500 | L 1.0094 | P 2.722e+00 | Lt 1.0199 | Pt 2.751e+00 | H 306.2059 | ETA 4.34h
I 35000 | L 1.0027 | P 2.704e+00 | Lt 1.0103 | Pt 2.725e+00 | H 322.4702 | ETA 4.17h
I 37500 | L 0.9975 | P 2.690e+00 | Lt 1.0082 | Pt 2.719e+00 | H 350.6317 | ETA 4.03h
I 40000 | L 0.9936 | P 2.680e+00 | Lt 1.0077 | Pt 2.718e+00 | H 357.8287 | ETA 3.86h
I 42500 | L 0.9900 | P 2.671e+00 | Lt 1.0027 | Pt 2.704e+00 | H 382.0910 | ETA 3.71h
I 45000 | L 0.9892 | P 2.668e+00 | Lt 1.0035 | Pt 2.707e+00 | H 408.0071 | ETA 3.54h
I 47500 | L 0.9848 | P 2.657e+00 | Lt 1.0023 | Pt 2.704e+00 | H 410.6090 | ETA 3.38h
I 50000 | L 0.9880 | P 2.665e+00 | Lt 0.9986 | Pt 2.694e+00 | H 434.9557 | ETA 3.22h
I 52500 | L 0.9830 | P 2.652e+00 | Lt 0.9989 | Pt 2.694e+00 | H 458.5655 | ETA 3.05h
I 55000 | L 0.9824 | P 2.651e+00 | Lt 0.9938 | Pt 2.681e+00 | H 471.4336 | ETA 2.89h
I 57500 | L 0.9799 | P 2.644e+00 | Lt 0.9945 | Pt 2.683e+00 | H 498.7171 | ETA 2.73h
I 60000 | L 0.9796 | P 2.643e+00 | Lt 0.9908 | Pt 2.673e+00 | H 517.4057 | ETA 2.57h
I 62500 | L 0.9821 | P 2.650e+00 | Lt 0.9878 | Pt 2.665e+00 | H 536.6597 | ETA 2.41h
I 65000 | L 0.9816 | P 2.648e+00 | Lt 0.9892 | Pt 2.668e+00 | H 551.9769 | ETA 2.25h
I 67500 | L 0.9773 | P 2.637e+00 | Lt 0.9901 | Pt 2.671e+00 | H 574.4049 | ETA 2.09h
I 70000 | L 0.9756 | P 2.633e+00 | Lt 0.9887 | Pt 2.667e+00 | H 596.9401 | ETA 1.93h
I 72500 | L 0.9735 | P 2.627e+00 | Lt 0.9861 | Pt 2.660e+00 | H 613.1922 | ETA 1.77h
I 75000 | L 0.9740 | P 2.629e+00 | Lt 0.9814 | Pt 2.648e+00 | H 632.4420 | ETA 1.61h
I 77500 | L 0.9741 | P 2.629e+00 | Lt 0.9844 | Pt 2.656e+00 | H 656.4696 | ETA 1.44h
I 80000 | L 0.9726 | P 2.625e+00 | Lt 0.9789 | Pt 2.641e+00 | H 667.5307 | ETA 1.28h
I 82500 | L 0.9729 | P 2.626e+00 | Lt 0.9833 | Pt 2.653e+00 | H 688.4632 | ETA 1.12h
I 85000 | L 0.9659 | P 2.608e+00 | Lt 0.9779 | Pt 2.639e+00 | H 712.6529 | ETA 0.96h
I 87500 | L 0.9688 | P 2.615e+00 | Lt 0.9778 | Pt 2.639e+00 | H 720.7208 | ETA 0.80h
I 90000 | L 0.9667 | P 2.610e+00 | Lt 0.9761 | Pt 2.634e+00 | H 761.1442 | ETA 0.64h
I 92500 | L 0.9689 | P 2.615e+00 | Lt 0.9762 | Pt 2.634e+00 | H 775.9990 | ETA 0.48h
I 95000 | L 0.9669 | P 2.610e+00 | Lt 0.9737 | Pt 2.628e+00 | H 801.0988 | ETA 0.32h
I 97500 | L 0.9682 | P 2.614e+00 | Lt 0.9757 | Pt 2.633e+00 | H 804.4966 | ETA 0.16h
I 100000 | L 0.9660 | P 2.608e+00 | Lt 0.9739 | Pt 2.628e+00 | H 817.1552 | ETA 0.00h
I 100001 | L 0.9660 | P 2.608e+00 | Lt 0.9739 | Pt 2.628e+00
Finished training!
