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: 2248278016
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: 2235695104
non_emb_params: 63808000
num_active_experts: 8
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_k8_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_k8_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-194131
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.1848 | P 3.240e+00 | Lt 1.2053 | Pt 3.307e+00 | H 2.3951 | ETA 71.69h
I 5000 | L 1.1050 | P 2.993e+00 | Lt 1.1248 | Pt 3.053e+00 | H 4.9413 | ETA 69.09h
I 7500 | L 1.0794 | P 2.918e+00 | Lt 1.0947 | Pt 2.963e+00 | H 7.2890 | ETA 66.35h
I 10000 | L 1.0573 | P 2.855e+00 | Lt 1.0805 | Pt 2.922e+00 | H 9.2037 | ETA 64.17h
I 12500 | L 1.0457 | P 2.822e+00 | Lt 1.0637 | Pt 2.873e+00 | H 11.0041 | ETA 62.15h
I 15000 | L 1.0395 | P 2.805e+00 | Lt 1.0514 | Pt 2.838e+00 | H 12.8220 | ETA 60.25h
I 17500 | L 1.0327 | P 2.786e+00 | Lt 1.0449 | Pt 2.820e+00 | H 14.2686 | ETA 58.63h
I 20000 | L 1.0252 | P 2.766e+00 | Lt 1.0431 | Pt 2.815e+00 | H 15.6646 | ETA 56.73h
I 22500 | L 1.0174 | P 2.744e+00 | Lt 1.0358 | Pt 2.795e+00 | H 17.1810 | ETA 54.84h
I 25000 | L 1.0177 | P 2.745e+00 | Lt 1.0283 | Pt 2.774e+00 | H 18.5196 | ETA 53.06h
I 27500 | L 1.0104 | P 2.725e+00 | Lt 1.0260 | Pt 2.768e+00 | H 19.7494 | ETA 51.25h
I 30000 | L 1.0077 | P 2.718e+00 | Lt 1.0221 | Pt 2.757e+00 | H 21.1375 | ETA 49.41h
I 32500 | L 1.0030 | P 2.705e+00 | Lt 1.0177 | Pt 2.745e+00 | H 22.8074 | ETA 47.57h
I 35000 | L 0.9998 | P 2.697e+00 | Lt 1.0136 | Pt 2.734e+00 | H 24.2286 | ETA 45.75h
I 37500 | L 1.0005 | P 2.699e+00 | Lt 1.0147 | Pt 2.737e+00 | H 25.7223 | ETA 43.96h
I 40000 | L 0.9947 | P 2.683e+00 | Lt 1.0094 | Pt 2.723e+00 | H 26.8283 | ETA 42.17h
I 42500 | L 0.9948 | P 2.683e+00 | Lt 1.0084 | Pt 2.720e+00 | H 28.4254 | ETA 40.40h
I 45000 | L 0.9934 | P 2.680e+00 | Lt 1.0052 | Pt 2.711e+00 | H 29.2566 | ETA 38.68h
I 47500 | L 0.9888 | P 2.667e+00 | Lt 1.0068 | Pt 2.715e+00 | H 31.1860 | ETA 36.94h
I 50000 | L 0.9880 | P 2.665e+00 | Lt 1.0026 | Pt 2.704e+00 | H 32.6154 | ETA 35.21h
I 52500 | L 0.9898 | P 2.670e+00 | Lt 0.9985 | Pt 2.693e+00 | H 33.9895 | ETA 33.46h
I 55000 | L 0.9845 | P 2.656e+00 | Lt 0.9996 | Pt 2.696e+00 | H 35.2087 | ETA 31.70h
I 57500 | L 0.9868 | P 2.662e+00 | Lt 0.9946 | Pt 2.683e+00 | H 36.6251 | ETA 29.93h
I 60000 | L 0.9851 | P 2.658e+00 | Lt 0.9992 | Pt 2.695e+00 | H 38.2774 | ETA 28.20h
I 62500 | L 0.9824 | P 2.651e+00 | Lt 0.9938 | Pt 2.681e+00 | H 40.3118 | ETA 26.43h
I 65000 | L 0.9813 | P 2.648e+00 | Lt 0.9939 | Pt 2.681e+00 | H 41.4962 | ETA 24.67h
I 67500 | L 0.9805 | P 2.646e+00 | Lt 0.9916 | Pt 2.675e+00 | H 43.3029 | ETA 22.91h
I 70000 | L 0.9795 | P 2.643e+00 | Lt 0.9877 | Pt 2.665e+00 | H 44.4427 | ETA 21.15h
I 72500 | L 0.9759 | P 2.633e+00 | Lt 0.9895 | Pt 2.669e+00 | H 45.8293 | ETA 19.38h
I 75000 | L 0.9788 | P 2.641e+00 | Lt 0.9884 | Pt 2.666e+00 | H 47.8196 | ETA 17.62h
I 77500 | L 0.9724 | P 2.624e+00 | Lt 0.9868 | Pt 2.662e+00 | H 49.6493 | ETA 15.86h
I 80000 | L 0.9774 | P 2.637e+00 | Lt 0.9874 | Pt 2.664e+00 | H 51.2328 | ETA 14.10h
I 82500 | L 0.9697 | P 2.617e+00 | Lt 0.9858 | Pt 2.659e+00 | H 52.6461 | ETA 12.33h
I 85000 | L 0.9711 | P 2.621e+00 | Lt 0.9871 | Pt 2.663e+00 | H 54.2969 | ETA 10.58h
I 87500 | L 0.9721 | P 2.624e+00 | Lt 0.9860 | Pt 2.660e+00 | H 55.8189 | ETA 8.81h
I 90000 | L 0.9722 | P 2.624e+00 | Lt 0.9828 | Pt 2.652e+00 | H 57.8222 | ETA 7.05h
I 92500 | L 0.9674 | P 2.612e+00 | Lt 0.9835 | Pt 2.653e+00 | H 59.3547 | ETA 5.29h
I 95000 | L 0.9725 | P 2.625e+00 | Lt 0.9785 | Pt 2.640e+00 | H 61.0675 | ETA 3.53h
I 97500 | L 0.9707 | P 2.620e+00 | Lt 0.9807 | Pt 2.646e+00 | H 62.3336 | ETA 1.76h
I 100000 | L 0.9705 | P 2.619e+00 | Lt 0.9802 | Pt 2.645e+00 | H 64.2308 | ETA 0.00h
I 100001 | L 0.9705 | P 2.619e+00 | Lt 0.9802 | Pt 2.645e+00
Finished training!
