chemlactica_debug.toml

# torchtitan Config.toml

[job]
dump_folder = "/nfs/dgx/raid/chem/titan_outputs"
description = "Galactica 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 = "opt"
flavor = "debugmodel"
norm_type = "layernorm_bias"  # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
# test tokenizer.model, for debug purpose only
tokenizer_path = "./torchtitan/tokenizers/chemlactica-125m"

[optimizer]
name = "AdamW"
lr = 1.4e-3

[training]
batch_size = 1
gradient_accumulation_steps = 1
seq_len = 2048
warmup_steps = 500  # lr scheduler warm up, normally 20% of the train steps
max_norm = 1.0  # grad norm clipping
steps = 50
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"

[validation]
valid_freq = 25
enable_valid = true
dataset = "chemlactica_valid_mini"  # supported datasets: chemlactica_valid_mini

[dataloader]
num_workers = 1

[experimental]
pipeline_parallel_degree = 1
enable_async_tensor_parallel = false

[checkpoint]
enable_checkpoint = true
create_seed_checkpoint = false
# load_folder = "facebook/galactica-125m"
save_folder = "yerevann/chemlactica-125m"
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