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peteish7-weka-anneal-from-928646-50B-megamath_v1.1.yaml
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run_name: peteish7-weka-anneal-from-928646-50B-megamath_v1.1.yaml
seed: 7201
dry_run: false
wandb:
name: ${run_name}
project: olmo-medium
group: ${run_name}
model:
d_model: 4096
n_heads: 32
n_layers: 32
mlp_hidden_size: 22016
weight_tying: false
alibi: false
rope: true
rope_theta: 500000
flash_attention: true
attention_dropout: 0.0
include_bias: false
block_type: sequential
layer_norm_type: rms
layer_norm_with_affine: true
layer_norm_eps: 1e-6
bias_for_layer_norm: false
attention_layer_norm: true
attention_layer_norm_with_affine: true
norm_after: true
activation_type: swiglu
residual_dropout: 0.0
embedding_dropout: 0.0
max_sequence_length: 4096
vocab_size: 100278
embedding_size: 100352
eos_token_id: 100257
pad_token_id: 100277
init_device: meta
init_fn: normal
init_std: 0.02
init_cutoff_factor: 3
softmax_auxiliary_loss: true
auxiliary_loss_multiplier: 1e-5
fused_loss: true
compile: null
optimizer:
name: adamw
learning_rate: 0.000061499
weight_decay: 0.1
eps: 1e-8
decay_norm_and_bias: true
decay_embeddings: false
betas:
- 0.9
- 0.95
metrics_log_interval: 1
scheduler:
name: linear_with_warmup
t_warmup: 0
alpha_f: 0
tokenizer:
identifier: tokenizers/allenai_dolma2.json
truncate_direction: right
save_folder: /weka/oe-training-default/ai2-llm/checkpoints/OLMo-medium/${run_name}
save_overwrite: false
save_interval: 1000
save_interval_ephemeral: 250
save_num_checkpoints_to_keep: -1
sharded_checkpointer: olmo_core
save_interval_unsharded: null
save_num_unsharded_checkpoints_to_keep: -1
load_path: /weka/oe-training-default/ai2-llm/checkpoints/OLMo-medium/peteish7/step928646
restore_dataloader: false
no_pre_train_checkpoint: true
max_duration: 50e9T
stop_at: 11931 # round(50e9 / (1024 * 4096)) + 10
global_train_batch_size: 1024
device_train_microbatch_size: 2
precision: amp_bf16
fsdp:
wrapping_strategy: by_block_and_size
precision: mixed
activation_checkpointing: one_in_four
max_grad_norm: 1.0
max_grad_norm_ratio: null
speed_monitor:
window_size: 1
gen1_gc_interval: 1
eval_interval: 1000
eval_subset_num_batches: -1
device_eval_batch_size: ${device_train_microbatch_size}
evaluators:
# - label: all-small-ppl-validation
# data:
# num_workers: 0
# drop_last: true
# # generate_doc_lengths: true
# memmap_dtype: uint32
# datasets:
# c4_en-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/c4_en/val/part-0-00000.npy
# dolma_books-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/dolma_books/val/part-0-00000.npy
# dolma_common-crawl-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/dolma_common-crawl/val/part-0-00000.npy
# dolma_pes2o-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/dolma_pes2o/val/part-0-00000.npy
# dolma_reddit-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/dolma_reddit/val/part-0-00000.npy
# dolma_stack-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/dolma_stack/val/part-0-00000.npy
# dolma_wiki-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/dolma_wiki/val/part-0-00000.npy
# ice-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/ice/val/part-0-00000.npy
# m2d2_s2orc-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/m2d2_s2orc/val/part-0-00000.npy
# pile-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/pile/val/part-0-00000.npy
# wikitext_103-validation:
# - /weka/oe-training-default/ai2-llm/eval-data/perplexity/v3_small_dolma2-tokenizer/wikitext_103/val/part-0-00000.npy
##########################
# Downstream evaluations #
##########################
- label: piqa
type: downstream
- label: hellaswag
type: downstream
- label: winogrande
type: downstream
- label: openbook_qa
type: downstream
- label: boolq
type: downstream
- label: sciq
type: downstream
- label: arc_easy
type: downstream
- label: arc_challenge
type: downstream
- label: copa
type: downstream
#- label: rte
# type: downstream
#- label: commitment_bank
# type: downstream
#- label: sst2
# type: downstream
- label: commonsense_qa
type: downstream
- label: social_iqa
type: downstream
- label: mmlu_stem_var
type: downstream
- label: mmlu_humanities_var
type: downstream
- label: mmlu_social_sciences_var
type: downstream
- label: mmlu_other_var
type: downstream
- label: mmlu_stem_mc_5shot
type: downstream
- label: mmlu_humanities_mc_5shot
type: downstream
- label: mmlu_social_sciences_mc_5shot
type: downstream
- label: mmlu_other_mc_5shot
type: downstream
- label: mmlu_stem_mc_5shot_test
type: downstream
- label: mmlu_humanities_mc_5shot_test
type: downstream
- label: mmlu_social_sciences_mc_5shot_test
type: downstream
- label: mmlu_other_mc_5shot_test
type: downstream
- label: basic_arithmetic
type: downstream
- label: trivia_qa_wiki_ppl
type: downstream
- label: natural_qs_open_ppl
type: downstream
- label: arc_easy_ppl
type: downstream
data:
pad_direction: right
# generate_doc_lengths: true
num_workers: 32
drop_last: true
pin_memory: true
prefetch_factor: 8
persistent_workers: true
memmap_dtype: uint32
timeout: 0
instance_filter:
repetition_max_period: 13
repetition_min_period: 1
repetition_max_count: 32
paths:
#SOURCE: s3://ai2-llm/preprocessed/personahub_math_v2_79975/ (84.52MT)
- s3://ai2-llm/preprocessed/personahub_math_v2_79975/part-0-00000.npy
#SOURCE: s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer (9.03MT)
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-17-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-35-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-25-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-30-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-31-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-28-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-24-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-18-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-21-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-14-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-03-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-15-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-07-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-27-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-33-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-23-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-22-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-26-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-04-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-06-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-19-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-00-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-05-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-29-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-13-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-12-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-11-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-34-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-10-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-16-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-02-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-01-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-09-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-32-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-08-00000.npy
- s3://ai2-llm/preprocessed/basic_math_mj/dolma2-tokenizer/part-20-00000.npy
#SOURCE: s3://ai2-llm/preprocessed/gsm8k-synth/resample_v1_6x/dolma2-tokenizer/ (1.08MT)
- s3://ai2-llm/preprocessed/gsm8k-synth/resample_v1_6x/dolma2-tokenizer/part-0-00000.npy
#SOURCE: s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/ (1.65BT)
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-45-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-71-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-37-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-44-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-63-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-47-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-13-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-30-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-22-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-12-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-84-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-82-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-62-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-87-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-58-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-61-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-75-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-06-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-39-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-83-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-09-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-02-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-25-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-05-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-73-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-91-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-59-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-70-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-21-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-42-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-08-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-36-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-24-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-89-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-57-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-16-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-50-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-66-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-18-00000.npy
- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-72-00000.npy
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- s3://ai2-llm/preprocessed/tinyGSM/inline_comments/dolma2-tokenizer/part-29-00000.npy
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#SOURCE: s3://ai2-llm/preprocessed/mathcoder2-synthmath/ajibawa-2023/dolma2-tokenizer/ (782.58MT)
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#SOURCE: s3://ai2-llm/preprocessed/mathcoder2-synthmath/mathcoder2-synthmath/filtered-math/dolma2-tokenizer/ (3.09BT)
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