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: 653393920
cola_params: 16285344
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: 640811008
non_emb_params: 15957664
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_e8_k2_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_e8_k2_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-194131
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2343 | P 3.403e+00 | Lt 1.2551 | Pt 3.474e+00 | H 4.1129 | ETA 17.85h
I 5000 | L 1.1601 | P 3.162e+00 | Lt 1.1834 | Pt 3.236e+00 | H 6.9607 | ETA 17.43h
I 7500 | L 1.1320 | P 3.075e+00 | Lt 1.1481 | Pt 3.124e+00 | H 9.6122 | ETA 16.99h
I 10000 | L 1.1152 | P 3.024e+00 | Lt 1.1323 | Pt 3.076e+00 | H 11.9635 | ETA 16.48h
I 12500 | L 1.1022 | P 2.985e+00 | Lt 1.1210 | Pt 3.041e+00 | H 14.5648 | ETA 15.93h
I 15000 | L 1.0948 | P 2.963e+00 | Lt 1.1102 | Pt 3.009e+00 | H 16.7997 | ETA 15.41h
I 17500 | L 1.0875 | P 2.942e+00 | Lt 1.1057 | Pt 2.996e+00 | H 18.7737 | ETA 14.94h
I 20000 | L 1.0833 | P 2.930e+00 | Lt 1.0983 | Pt 2.974e+00 | H 20.9665 | ETA 14.45h
I 22500 | L 1.0789 | P 2.917e+00 | Lt 1.0951 | Pt 2.964e+00 | H 23.3538 | ETA 13.98h
I 25000 | L 1.0730 | P 2.900e+00 | Lt 1.0904 | Pt 2.950e+00 | H 25.7924 | ETA 13.51h
I 27500 | L 1.0722 | P 2.898e+00 | Lt 1.0891 | Pt 2.947e+00 | H 27.9834 | ETA 13.05h
I 30000 | L 1.0654 | P 2.878e+00 | Lt 1.0859 | Pt 2.937e+00 | H 31.0082 | ETA 12.60h
I 32500 | L 1.0643 | P 2.875e+00 | Lt 1.0832 | Pt 2.929e+00 | H 32.8237 | ETA 12.13h
I 35000 | L 1.0595 | P 2.861e+00 | Lt 1.0779 | Pt 2.914e+00 | H 34.7540 | ETA 11.68h
I 37500 | L 1.0587 | P 2.859e+00 | Lt 1.0727 | Pt 2.899e+00 | H 37.2064 | ETA 11.24h
I 40000 | L 1.0552 | P 2.849e+00 | Lt 1.0760 | Pt 2.908e+00 | H 39.4714 | ETA 10.80h
I 42500 | L 1.0536 | P 2.845e+00 | Lt 1.0755 | Pt 2.907e+00 | H 41.8549 | ETA 10.35h
I 45000 | L 1.0539 | P 2.845e+00 | Lt 1.0716 | Pt 2.896e+00 | H 43.6323 | ETA 9.89h
I 47500 | L 1.0511 | P 2.837e+00 | Lt 1.0678 | Pt 2.885e+00 | H 47.1015 | ETA 9.44h
I 50000 | L 1.0511 | P 2.838e+00 | Lt 1.0668 | Pt 2.882e+00 | H 49.2058 | ETA 9.00h
I 52500 | L 1.0497 | P 2.834e+00 | Lt 1.0641 | Pt 2.874e+00 | H 51.9004 | ETA 8.55h
I 55000 | L 1.0514 | P 2.838e+00 | Lt 1.0675 | Pt 2.884e+00 | H 54.3648 | ETA 8.10h
I 57500 | L 1.0468 | P 2.826e+00 | Lt 1.0651 | Pt 2.877e+00 | H 57.1909 | ETA 7.64h
I 60000 | L 1.0428 | P 2.814e+00 | Lt 1.0599 | Pt 2.862e+00 | H 59.2675 | ETA 7.20h
I 62500 | L 1.0455 | P 2.822e+00 | Lt 1.0633 | Pt 2.872e+00 | H 61.9349 | ETA 6.75h
I 65000 | L 1.0430 | P 2.815e+00 | Lt 1.0611 | Pt 2.866e+00 | H 63.8069 | ETA 6.30h
I 67500 | L 1.0425 | P 2.813e+00 | Lt 1.0580 | Pt 2.857e+00 | H 66.3830 | ETA 5.85h
I 70000 | L 1.0407 | P 2.808e+00 | Lt 1.0583 | Pt 2.858e+00 | H 70.0507 | ETA 5.40h
I 72500 | L 1.0391 | P 2.804e+00 | Lt 1.0541 | Pt 2.846e+00 | H 72.7656 | ETA 4.96h
I 75000 | L 1.0407 | P 2.809e+00 | Lt 1.0573 | Pt 2.855e+00 | H 73.9479 | ETA 4.51h
I 77500 | L 1.0417 | P 2.811e+00 | Lt 1.0523 | Pt 2.841e+00 | H 76.7525 | ETA 4.06h
I 80000 | L 1.0402 | P 2.807e+00 | Lt 1.0544 | Pt 2.847e+00 | H 79.8081 | ETA 3.61h
I 82500 | L 1.0385 | P 2.802e+00 | Lt 1.0541 | Pt 2.846e+00 | H 82.7230 | ETA 3.16h
I 85000 | L 1.0378 | P 2.800e+00 | Lt 1.0500 | Pt 2.834e+00 | H 85.3801 | ETA 2.71h
I 87500 | L 1.0343 | P 2.791e+00 | Lt 1.0518 | Pt 2.839e+00 | H 88.6547 | ETA 2.26h
I 90000 | L 1.0356 | P 2.794e+00 | Lt 1.0525 | Pt 2.841e+00 | H 90.9016 | ETA 1.80h
I 92500 | L 1.0323 | P 2.785e+00 | Lt 1.0487 | Pt 2.831e+00 | H 93.4540 | ETA 1.35h
I 95000 | L 1.0336 | P 2.789e+00 | Lt 1.0485 | Pt 2.830e+00 | H 96.5733 | ETA 0.90h
I 97500 | L 1.0352 | P 2.793e+00 | Lt 1.0480 | Pt 2.829e+00 | H 99.4927 | ETA 0.45h
I 100000 | L 1.0318 | P 2.784e+00 | Lt 1.0450 | Pt 2.820e+00 | H 101.8930 | ETA 0.00h
I 100001 | L 1.0318 | P 2.784e+00 | Lt 1.0450 | Pt 2.820e+00
Finished training!
