"docs/howto_3_CustomizedAdvisor.md" did not exist on "bc9eab33642f6d059092c5f19d0a21bd11e06992"
Commit dfcb88ff authored by chenzk's avatar chenzk
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v1.0.8

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checkpoints:
checkpoint_interval: 10
checkpoints_path: checkpoints
checkpoints_path_is_shared_file_system: false
resume_checkpoint_path: null
save_final_state: false
save_initial_state: false
data_stages:
- data:
dataset:
dataset_overwrite_cache: false
dataset_processing_num_proc_per_process: 1
hf_dataset_config_name: null
hf_dataset_or_datasets: datasets/fineweb-edu-dedup
hf_dataset_splits: train
text_column_name: text
num_loading_workers: 1
seed: 42
name: Stable Training Stage
start_training_step: 1
- data:
dataset:
dataset_overwrite_cache: false
dataset_processing_num_proc_per_process: 1
hf_dataset_config_name: null
hf_dataset_or_datasets: datasets/fineweb-edu-dedup
hf_dataset_splits: train
text_column_name: text
num_loading_workers: 1
seed: 42
name: Annealing Phase
start_training_step: 10
general:
benchmark_csv_path: null
consumed_train_samples: null
ignore_sanity_checks: true
project: debug
run: tiny_llama_%date_%jobid
seed: 42
step: null
lighteval: null
logging:
iteration_step_info_interval: 1
log_level: info
log_level_replica: info
model:
ddp_bucket_cap_mb: 25
dtype: bfloat16
init_method:
std: 0.025
make_vocab_size_divisible_by: 1
model_config:
bos_token_id: 1
eos_token_id: 2
hidden_act: silu
hidden_size: 16
initializer_range: 0.02
intermediate_size: 64
is_llama_config: true
max_position_embeddings: 256
num_attention_heads: 4
num_hidden_layers: 2
num_key_value_heads: 4
pad_token_id: null
pretraining_tp: 1
rms_norm_eps: 1.0e-05
rope_interleaved: false
rope_scaling: null
rope_theta: 10000.0
tie_word_embeddings: true
use_cache: true
vocab_size: 49152
optimizer:
accumulate_grad_in_fp32: true
clip_grad: 1.0
learning_rate_scheduler:
learning_rate: 0.0003
lr_decay_starting_step: null
lr_decay_steps: 13
lr_decay_style: cosine
lr_warmup_steps: 2
lr_warmup_style: linear
min_decay_lr: 1.0e-05
optimizer_factory:
adam_beta1: 0.9
adam_beta2: 0.95
adam_eps: 1.0e-08
name: adamW
torch_adam_is_fused: true
weight_decay: 0.01
zero_stage: 0
parallelism:
dp: 1
expert_parallel_size: 1
pp: 2
pp_engine: 1f1b
recompute_layer: false
tp: 2
tp_linear_async_communication: true
tp_mode: REDUCE_SCATTER
tp_recompute_allgather: true
profiler: null
s3_upload: null
tokenizer:
tokenizer_max_length: null
tokenizer_name_or_path: HuggingFaceTB/cosmo2-tokenizer
tokenizer_revision: null
tokens:
batch_accumulation_per_replica: 1
limit_test_batches: 0
limit_val_batches: 0
micro_batch_size: 2
sequence_length: 256
train_steps: 15
val_check_interval: -1
checkpoints:
checkpoint_interval: 10
checkpoints_path: checkpoints
checkpoints_path_is_shared_file_system: false
resume_checkpoint_path: null
save_initial_state: false
data_stages:
- data:
dataset:
dataset_overwrite_cache: false
dataset_processing_num_proc_per_process: 1
hf_dataset_config_name: null
hf_dataset_or_datasets: stas/openwebtext-10k
hf_dataset_splits: train
text_column_name: text
num_loading_workers: 1
seed: 42
name: Stable Training Stage
start_training_step: 1
- data:
dataset:
dataset_overwrite_cache: false
dataset_processing_num_proc_per_process: 1
hf_dataset_config_name: null
hf_dataset_or_datasets: stas/openwebtext-10k
hf_dataset_splits: train
text_column_name: text
num_loading_workers: 1
seed: 42
name: Annealing Phase
start_training_step: 10
general:
benchmark_csv_path: null
consumed_train_samples: null
ignore_sanity_checks: true
project: debug
run: tiny_llama_%date_%jobid
seed: 42
step: null
lighteval: null
logging:
iteration_step_info_interval: 1
log_level: info
log_level_replica: info
model:
ddp_bucket_cap_mb: 25
dtype: bfloat16
init_method:
std: 0.025
make_vocab_size_divisible_by: 1
model_config:
bos_token_id: 1
eos_token_id: 2
hidden_act: silu
hidden_size: 16
initializer_range: 0.02
intermediate_size: 64
is_llama_config: true
max_position_embeddings: 256
num_attention_heads: 4
num_hidden_layers: 2
num_key_value_heads: 4
pad_token_id: null
pretraining_tp: 1
rms_norm_eps: 1.0e-05
rope_scaling: null
tie_word_embeddings: true
use_cache: true
vocab_size: 256
optimizer:
accumulate_grad_in_fp32: true
clip_grad: 1.0
learning_rate_scheduler:
learning_rate: 0.0003
lr_decay_starting_step: null
lr_decay_steps: 13
lr_decay_style: cosine
lr_warmup_steps: 2
lr_warmup_style: linear
min_decay_lr: 1.0e-05
optimizer_factory:
adam_beta1: 0.9
adam_beta2: 0.95
adam_eps: 1.0e-08
name: adamW
torch_adam_is_fused: true
weight_decay: 0.01
zero_stage: 0
parallelism:
dp: 2
expert_parallel_size: 1
pp: 2
pp_engine: 1f1b
tp: 2
tp_linear_async_communication: true
tp_mode: REDUCE_SCATTER
profiler: null
tokenizer:
tokenizer_max_length: null
tokenizer_name_or_path: robot-test/dummy-tokenizer-wordlevel
tokenizer_revision: null
tokens:
batch_accumulation_per_replica: 1
limit_test_batches: 0
limit_val_batches: 0
micro_batch_size: 2
sequence_length: 256
train_steps: 15
val_check_interval: -1
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#!/bin/bash
# Simple script to create a tiny llama model and train it
set -e -x
# Create the YAML config file
EXAMPLE_PATH=$(cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P)
REPO_PATH=$(dirname $EXAMPLE_PATH)
python $EXAMPLE_PATH/debug_config_tiny_llama.py
# Setup from environment variables
export CUDA_DEVICE_MAX_CONNECTIONS=1
export FI_PROVIDER="efa"
debugpy-run -m torch.distributed.run -p 5678 \
-- \
--nproc_per_node 2 \
--nnodes 1 \
--rdzv_backend c10d \
--max_restarts 0 \
--tee 3 \
$REPO_PATH/../run_train.py --config-file $EXAMPLE_PATH/debug_config_tiny_llama.yaml
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