accum_freq: 2
attn_activation: None
attn_name: auto
attn_seq_scalar: None
attn_seq_scalar_alpha: None
average: None
average_coefficients: None
beta1: 0.9
beta2: 0.95
checkpoint_path: logs/17288/rpj-d=1024_l=24_h=8-16.0/checkpoints
copy_codebase: False
data_key: txt
dataset_manifest: None
dataset_resampled: False
dataset_type: auto
ddp_static_graph: False
debug: False
delete_previous_checkpoint: True
device: cuda:0
disable_buffer: False
dist_backend: nccl
dist_url: env://
distill_model: None
distill_pretrained: None
distributed: True
epochs: 5
epochs_cooldown: None
eps: 1e-08
experimental_meta_device: False
ffn_type: swiglu
force_distributed: False
force_min_lr: 0.0
fsdp: False
fsdp_amp: False
fsdp_backward_prefetch: False
fsdp_checkpoint: False
fsdp_cpu_offload: False
fsdp_hybrid: False
fsdp_hybrid_o2: False
fsdp_limit_all_gathers: False
fsdp_pure_bf16: False
fsdp_use_orig_params: False
global_batch_size: 32
global_val_batch_size: 16
grad_checkpointing: False
grad_clip_norm: 1.0
hf_fsdp_block: None
hf_model: None
hf_seq_len: None
ignore_parse_errors: False
load_pretrained_state: False
local_rank: 0
log_every_n_steps: 20
log_level: 20
log_local: False
log_logit_mean: False
log_path: logs/17288/rpj-d=1024_l=24_h=8-16.0/out.log
logs: logs/17288
lr: 0.003
lr_cooldown_end: 3e-05
lr_cooldown_power: 1.0
lr_scheduler: cosine
model: d=1024_l=24_h=8
model_norm: gain_only_lp_layer_norm
moe_capacity_factor: 1.25
moe_expert_model_parallelism: False
moe_freq: 0
moe_loss_weight: 0.1
moe_num_experts: None
moe_top_k: 2
moe_weight_parallelism: False
multiple_data_passes: False
name: rpj-d=1024_l=24_h=8-16.0
no_set_device_rank: False
optimizer: adamw
per_gpu_batch_size: 16
per_gpu_val_batch_size: 8
positional_embedding_type: rotary
precision: amp_bfloat16
pretrained: None
qk_norm: True
rank: 0
remote_sync: s3://dcnlp-west/dcnlp_experiments_v3
remote_sync_frequency: 300
remote_sync_protocol: s3
report_to: 
resume: s3://dcnlp-west/dcnlp_experiments_v3/rpj-d=1024_l=24_h=8-16.0/checkpoints/epoch_6.pt
save_frequency: 1
save_most_recent: False
seed: 124
seq_len: 2048
skip_scheduler: False
squash_mask_left: True
target_mask_individual: 50400
target_mask_left: 50300
tensorboard: False
tensorboard_path: 
torchcompile: False
torchscript: False
trace: False
train_data: None
train_data_mix_weights: None
train_data_upsampling_factors: None
train_num_samples: None
use_bn_sync: False
use_bnb_linear: None
val_data: ['training/eval_data/val_tok_mult/openlm/shard_00000000.tar', 'training/eval_data/c4_val/shard-{0000000..0000010}.tar', 'training/eval_data/val_tok_mult/paloma_4chan_meta_sep/00000001.tar', 'training/eval_data/val_tok_mult/paloma_c4_100_domains/00000001.tar', 'training/eval_data/val_tok_mult/paloma_c4_en/00000001.tar', 'training/eval_data/val_tok_mult/paloma_dolma-v1_5/00000001.tar', 'training/eval_data/val_tok_mult/paloma_dolma_100_programing_languages/00000001.tar', 'training/eval_data/val_tok_mult/paloma_dolma_100_subreddits/00000001.tar', 'training/eval_data/val_tok_mult/paloma_falcon-refinedweb/00000001.tar', 'training/eval_data/val_tok_mult/paloma_gab/00000001.tar', 'training/eval_data/val_tok_mult/paloma_m2d2_s2orc_unsplit_dedup/00000001.tar', 'training/eval_data/val_tok_mult/paloma_m2d2_wikipedia_unsplit/00000001.tar', 'training/eval_data/val_tok_mult/paloma_manosphere_meta_sep/00000001.tar', 'training/eval_data/val_tok_mult/paloma_mc4/00000001.tar', 'training/eval_data/val_tok_mult/paloma_ptb/00000001.tar', 'training/eval_data/val_tok_mult/paloma_redpajama/00000001.tar', 'training/eval_data/val_tok_mult/paloma_twitterAAE_HELM_fixed/00000001.tar', 'training/eval_data/val_tok_mult/paloma_wikitext_103/00000001.tar', '/admin/home-sy/dcnlp/training/eval_data/mmlu/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/hellaswag/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/jeopardy_all/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/triviaqa_sm_sub/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/gsm8k/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/agi_eval_sat_math/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/aqua/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/svamp/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_qa_wikidata/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/arc_easy/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/arc_challenge/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_misconceptions/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/copa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/siqa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/commonsense_qa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/piqa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/openbook_qa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_novel_concepts/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_strange_stories/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_strategy_qa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/lambada_openai/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/winograd_wsc/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/winogrande/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_conlang_translation/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_language_identification/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_conceptual_combinations/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_elementary_math_qa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_dyck_languages/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/agi_eval_lsat_ar/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_cs_algorithms/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_logical_deduction/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_operators/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_repeat_copy_logic/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/simple_arithmetic_nospaces/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/simple_arithmetic_withspaces/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/math_qa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/logi_qa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/pubmed_qa_labeled/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/squad/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/agi_eval_lsat_rc/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/agi_eval_lsat_lr/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/coqa/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bigbench_understanding_fables/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/boolq/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/agi_eval_sat_en/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/winogender_mc_female/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/winogender_mc_male/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/enterprise_pii_classification/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/bbq/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/human_eval_return_complex/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/human_eval_return_simple/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/human_eval-0.5/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/human_eval-0.25/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/human_eval-0.75/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/human_eval/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/processed_human_eval_cpp/shard-0000000.tar', '/admin/home-sy/dcnlp/training/eval_data/processed_human_eval_js/shard-0000000.tar']
val_data_key: ['json', 'txt', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'json.gz', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt', 'txt']
val_frequency: 5
val_iter_ci: 10000
val_max_pop_ci: 300000
val_num_samples: None
val_seq_ci: True
val_tok_ci: True
vocab_size: 50432
wandb: False
wandb_notes: 
wandb_project_name: open-lm
warmup: 2000
wd: 0.033
workers: 2
world_size: 2
z_loss_coefficient: 0.0001