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: 1185021952
cola_params: 32235456
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: 1172439040
non_emb_params: 31907776
num_active_experts: 4
num_active_ffn_experts: 2
num_blocks: 4
num_experts: 16
num_ffn_experts: 1
opt_name: AdamW
out_dir: /chkpt/btt_norm_moe_e16_k4_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-194349
rank_frac: 0.2
spec_penalty_weight: 0.0
split_qkv: True
struct: btt_norm_moe
timestamp: 2024-05-14_194349
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_e16_k4_ffe1k2_all_but_last_l3-dm1024-de-1-h-1-dh64-ttr1-194349
warmup_iters: 2000
weight_decay: 0.0
I 2500 | L 1.2000 | P 3.289e+00 | Lt 1.2216 | Pt 3.361e+00 | H 2.7195 | ETA 35.36h
I 5000 | L 1.1234 | P 3.049e+00 | Lt 1.1461 | Pt 3.118e+00 | H 5.1386 | ETA 34.01h
I 7500 | L 1.0975 | P 2.971e+00 | Lt 1.1218 | Pt 3.044e+00 | H 7.3708 | ETA 32.86h
I 10000 | L 1.0820 | P 2.926e+00 | Lt 1.0955 | Pt 2.965e+00 | H 9.5673 | ETA 31.82h
I 12500 | L 1.0709 | P 2.894e+00 | Lt 1.0863 | Pt 2.938e+00 | H 11.4247 | ETA 30.91h
I 15000 | L 1.0627 | P 2.870e+00 | Lt 1.0781 | Pt 2.915e+00 | H 13.5159 | ETA 30.00h
I 17500 | L 1.0553 | P 2.849e+00 | Lt 1.0683 | Pt 2.886e+00 | H 15.2512 | ETA 29.10h
I 20000 | L 1.0503 | P 2.835e+00 | Lt 1.0693 | Pt 2.889e+00 | H 16.9901 | ETA 28.18h
I 22500 | L 1.0451 | P 2.821e+00 | Lt 1.0607 | Pt 2.865e+00 | H 19.0236 | ETA 27.28h
I 25000 | L 1.0391 | P 2.804e+00 | Lt 1.0568 | Pt 2.854e+00 | H 20.5990 | ETA 26.38h
I 27500 | L 1.0337 | P 2.789e+00 | Lt 1.0534 | Pt 2.844e+00 | H 22.4851 | ETA 25.49h
I 30000 | L 1.0297 | P 2.778e+00 | Lt 1.0487 | Pt 2.831e+00 | H 24.3135 | ETA 24.60h
I 32500 | L 1.0293 | P 2.777e+00 | Lt 1.0456 | Pt 2.822e+00 | H 25.9031 | ETA 23.71h
I 35000 | L 1.0260 | P 2.768e+00 | Lt 1.0391 | Pt 2.804e+00 | H 27.8997 | ETA 22.85h
I 37500 | L 1.0264 | P 2.769e+00 | Lt 1.0401 | Pt 2.807e+00 | H 29.7756 | ETA 21.98h
I 40000 | L 1.0226 | P 2.758e+00 | Lt 1.0371 | Pt 2.798e+00 | H 31.4324 | ETA 21.10h
I 42500 | L 1.0223 | P 2.758e+00 | Lt 1.0334 | Pt 2.788e+00 | H 33.8015 | ETA 20.24h
I 45000 | L 1.0189 | P 2.748e+00 | Lt 1.0335 | Pt 2.788e+00 | H 35.1885 | ETA 19.34h
I 47500 | L 1.0201 | P 2.752e+00 | Lt 1.0317 | Pt 2.783e+00 | H 37.8397 | ETA 18.45h
I 50000 | L 1.0155 | P 2.739e+00 | Lt 1.0342 | Pt 2.790e+00 | H 39.9542 | ETA 17.58h
I 52500 | L 1.0140 | P 2.735e+00 | Lt 1.0278 | Pt 2.773e+00 | H 40.8448 | ETA 16.70h
I 55000 | L 1.0122 | P 2.730e+00 | Lt 1.0232 | Pt 2.760e+00 | H 43.2441 | ETA 15.84h
I 57500 | L 1.0098 | P 2.724e+00 | Lt 1.0248 | Pt 2.764e+00 | H 45.3605 | ETA 14.96h
I 60000 | L 1.0091 | P 2.722e+00 | Lt 1.0219 | Pt 2.756e+00 | H 47.2966 | ETA 14.08h
I 62500 | L 1.0091 | P 2.722e+00 | Lt 1.0245 | Pt 2.764e+00 | H 49.7011 | ETA 13.21h
I 65000 | L 1.0052 | P 2.711e+00 | Lt 1.0187 | Pt 2.748e+00 | H 51.5369 | ETA 12.32h
I 67500 | L 1.0068 | P 2.715e+00 | Lt 1.0222 | Pt 2.757e+00 | H 53.1873 | ETA 11.44h
I 70000 | L 1.0034 | P 2.706e+00 | Lt 1.0197 | Pt 2.751e+00 | H 55.8782 | ETA 10.56h
I 72500 | L 1.0021 | P 2.703e+00 | Lt 1.0144 | Pt 2.736e+00 | H 57.4250 | ETA 9.68h
I 75000 | L 1.0016 | P 2.702e+00 | Lt 1.0194 | Pt 2.750e+00 | H 59.4351 | ETA 8.80h
I 77500 | L 1.0028 | P 2.705e+00 | Lt 1.0116 | Pt 2.729e+00 | H 62.0958 | ETA 7.92h
I 80000 | L 1.0028 | P 2.705e+00 | Lt 1.0155 | Pt 2.739e+00 | H 64.3455 | ETA 7.05h
I 82500 | L 1.0029 | P 2.705e+00 | Lt 1.0122 | Pt 2.730e+00 | H 66.5700 | ETA 6.17h
I 85000 | L 1.0017 | P 2.702e+00 | Lt 1.0150 | Pt 2.738e+00 | H 68.8768 | ETA 5.29h
I 87500 | L 0.9991 | P 2.695e+00 | Lt 1.0126 | Pt 2.731e+00 | H 70.8274 | ETA 4.41h
I 90000 | L 0.9957 | P 2.686e+00 | Lt 1.0123 | Pt 2.730e+00 | H 72.8004 | ETA 3.52h
I 92500 | L 0.9996 | P 2.696e+00 | Lt 1.0085 | Pt 2.720e+00 | H 76.4115 | ETA 2.64h
I 95000 | L 0.9993 | P 2.695e+00 | Lt 1.0122 | Pt 2.730e+00 | H 77.9196 | ETA 1.76h
I 97500 | L 0.9974 | P 2.690e+00 | Lt 1.0129 | Pt 2.732e+00 | H 80.9820 | ETA 0.88h
I 100000 | L 0.9951 | P 2.684e+00 | Lt 1.0116 | Pt 2.729e+00 | H 82.1857 | ETA 0.00h
I 100001 | L 0.9951 | P 2.684e+00 | Lt 1.0116 | Pt 2.729e+00
Finished training!
