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llama3.2_3b.toml
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llama3.2_3b.toml
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# torchtitan Config.toml
[job]
dump_folder = "/nfs/h100/raid/chem/checkpoints"
description = "Llama 3.2 training"
use_for_integration_test = false
[profiling]
enable_profiling = false
save_traces_folder = "profile_trace"
profile_freq = 10
enable_memory_snapshot = false
save_memory_snapshot_folder = "memory_snapshot"
[metrics]
log_freq = 1
enable_color_printing = true
enable_aim = true
save_aim_folder = "aim"
[model]
name = "llama3"
flavor = "3B"
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
tokenizer_path = "torchtitan/tokenizers/Llama-3.2-chem-1B-v1/"
[optimizer]
name = "AdamW"
lr = 6e-4
[training]
batch_size = 6
gradient_accumulation_steps = 28
seq_len = 2048
warmup_steps = 500 # lr scheduler warm up, normally 20% of the train steps
max_norm = 1.0 # grad norm clipping
steps = 40000
data_parallel_degree = -1
tensor_parallel_degree = 1
compile = true
# dataset = "c4" # supported datasets: c4_test (2K), c4 (177M)
# dataset = "chemlactica_train_mini" # supported datasets: c4_test (2K), c4 (177M), chemlactica_train_mini (4K)
dataset = "chemlactica_train"
data_processing_style="chemlactica_style"
representation_type = "SMILES"
[validation]
valid_freq = 2000
enable_valid = true
dataset = "chemlactica_valid" # supported datasets: chemlactica_valid_mini
[dataloader]
num_workers = 2
[experimental]
pipeline_parallel_degree = 1
enable_async_tensor_parallel = false
[checkpoint]
enable_checkpoint = true
save_folder = "yerevann/Llama-3.2-3B"
load_folder = "meta-llama/Llama-3.2-3B"
# load_folder = "yerevann/Llama-3.2-1B/ec943c9e63db4cf7b4a8b847"
# load_at_step = 40000
interval_type = "steps"
interval = 2000
model_weights_only = false
export_dtype = "float32"
async_mode = "async_with_pinned_mem" # ["disabled", "async", "async_with_pinned_mem"]
[activation_checkpoint]
mode = 'none' # ['none', 'selective', 'full']
selective_ac_option = '2' # 'int' = ac every positive int layer or 'op', ac based on ops policy
[float8]
enable_float8_linear = false