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: 1241645056
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: 1229062144
non_emb_params: 63808000
num_active_experts: 4
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_k4_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-194131
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe
timestamp: 2024-05-14_194131
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_k4_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-194131
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1961 | P 3.277e+00 | Lt 1.2174 | Pt 3.347e+00 | H 2.6370 | ETA 66.21h
I 5000 | L 1.1125 | P 3.016e+00 | Lt 1.1330 | Pt 3.078e+00 | H 4.2564 | ETA 63.81h
I 7500 | L 1.0863 | P 2.938e+00 | Lt 1.1022 | Pt 2.985e+00 | H 5.6445 | ETA 61.73h
I 10000 | L 1.0642 | P 2.875e+00 | Lt 1.0872 | Pt 2.941e+00 | H 7.1136 | ETA 59.83h
I 12500 | L 1.0524 | P 2.841e+00 | Lt 1.0701 | Pt 2.892e+00 | H 8.1501 | ETA 57.97h
I 15000 | L 1.0458 | P 2.823e+00 | Lt 1.0583 | Pt 2.858e+00 | H 9.3000 | ETA 56.20h
I 17500 | L 1.0384 | P 2.802e+00 | Lt 1.0515 | Pt 2.839e+00 | H 10.3027 | ETA 54.58h
I 20000 | L 1.0310 | P 2.781e+00 | Lt 1.0491 | Pt 2.832e+00 | H 11.4537 | ETA 52.84h
I 22500 | L 1.0235 | P 2.761e+00 | Lt 1.0415 | Pt 2.811e+00 | H 12.3532 | ETA 51.15h
I 25000 | L 1.0233 | P 2.760e+00 | Lt 1.0344 | Pt 2.791e+00 | H 13.4801 | ETA 49.48h
I 27500 | L 1.0156 | P 2.740e+00 | Lt 1.0322 | Pt 2.785e+00 | H 14.7025 | ETA 47.79h
I 30000 | L 1.0127 | P 2.732e+00 | Lt 1.0274 | Pt 2.772e+00 | H 15.7567 | ETA 46.14h
I 32500 | L 1.0082 | P 2.719e+00 | Lt 1.0237 | Pt 2.762e+00 | H 17.1589 | ETA 44.47h
I 35000 | L 1.0055 | P 2.712e+00 | Lt 1.0197 | Pt 2.750e+00 | H 18.4182 | ETA 42.78h
I 37500 | L 1.0056 | P 2.712e+00 | Lt 1.0201 | Pt 2.752e+00 | H 19.5013 | ETA 41.11h
I 40000 | L 1.0000 | P 2.697e+00 | Lt 1.0154 | Pt 2.739e+00 | H 20.6295 | ETA 39.47h
I 42500 | L 0.9999 | P 2.697e+00 | Lt 1.0141 | Pt 2.735e+00 | H 22.1674 | ETA 37.82h
I 45000 | L 0.9988 | P 2.694e+00 | Lt 1.0102 | Pt 2.725e+00 | H 23.1825 | ETA 36.20h
I 47500 | L 0.9944 | P 2.682e+00 | Lt 1.0126 | Pt 2.731e+00 | H 24.5585 | ETA 34.56h
I 50000 | L 0.9927 | P 2.678e+00 | Lt 1.0080 | Pt 2.719e+00 | H 25.9489 | ETA 32.92h
I 52500 | L 0.9946 | P 2.683e+00 | Lt 1.0041 | Pt 2.708e+00 | H 27.1968 | ETA 31.30h
I 55000 | L 0.9897 | P 2.670e+00 | Lt 1.0048 | Pt 2.710e+00 | H 28.4570 | ETA 29.66h
I 57500 | L 0.9918 | P 2.675e+00 | Lt 0.9998 | Pt 2.697e+00 | H 30.1491 | ETA 28.03h
I 60000 | L 0.9897 | P 2.670e+00 | Lt 1.0043 | Pt 2.709e+00 | H 31.1597 | ETA 26.39h
I 62500 | L 0.9871 | P 2.663e+00 | Lt 0.9990 | Pt 2.695e+00 | H 33.2576 | ETA 24.75h
I 65000 | L 0.9860 | P 2.660e+00 | Lt 0.9987 | Pt 2.694e+00 | H 34.1097 | ETA 23.10h
I 67500 | L 0.9854 | P 2.658e+00 | Lt 0.9973 | Pt 2.690e+00 | H 35.8324 | ETA 21.45h
I 70000 | L 0.9846 | P 2.656e+00 | Lt 0.9928 | Pt 2.678e+00 | H 37.1179 | ETA 19.81h
I 72500 | L 0.9812 | P 2.647e+00 | Lt 0.9948 | Pt 2.683e+00 | H 38.6307 | ETA 18.16h
I 75000 | L 0.9838 | P 2.654e+00 | Lt 0.9938 | Pt 2.681e+00 | H 40.4912 | ETA 16.51h
I 77500 | L 0.9768 | P 2.636e+00 | Lt 0.9923 | Pt 2.677e+00 | H 41.9019 | ETA 14.85h
I 80000 | L 0.9815 | P 2.648e+00 | Lt 0.9925 | Pt 2.677e+00 | H 43.4260 | ETA 13.20h
I 82500 | L 0.9736 | P 2.628e+00 | Lt 0.9909 | Pt 2.673e+00 | H 44.5814 | ETA 11.55h
I 85000 | L 0.9761 | P 2.634e+00 | Lt 0.9923 | Pt 2.677e+00 | H 46.4774 | ETA 9.90h
I 87500 | L 0.9774 | P 2.637e+00 | Lt 0.9914 | Pt 2.674e+00 | H 48.3481 | ETA 8.25h
I 90000 | L 0.9773 | P 2.637e+00 | Lt 0.9880 | Pt 2.665e+00 | H 50.5792 | ETA 6.60h
I 92500 | L 0.9724 | P 2.624e+00 | Lt 0.9883 | Pt 2.666e+00 | H 51.5234 | ETA 4.95h
I 95000 | L 0.9771 | P 2.637e+00 | Lt 0.9834 | Pt 2.653e+00 | H 52.8007 | ETA 3.30h
I 97500 | L 0.9758 | P 2.633e+00 | Lt 0.9855 | Pt 2.659e+00 | H 54.8929 | ETA 1.65h
I 100000 | L 0.9750 | P 2.631e+00 | Lt 0.9853 | Pt 2.658e+00 | H 56.2838 | ETA 0.00h
I 100001 | L 0.9750 | P 2.631e+00 | Lt 0.9853 | Pt 2.658e+00
Finished training!
