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Llama3-70B-PPO-Chat / model_config.yaml
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mcore_gpt: true
micro_batch_size: 1
global_batch_size: 128
tensor_model_parallel_size: 8
pipeline_model_parallel_size: 8
virtual_pipeline_model_parallel_size: null
encoder_seq_length: 8192
max_position_embeddings: 8192
num_layers: 80
hidden_size: 8192
ffn_hidden_size: 28672
num_attention_heads: 64
init_method_std: 0.02
use_scaled_init_method: true
hidden_dropout: 0.0
attention_dropout: 0.0
ffn_dropout: 0.0
kv_channels: null
apply_query_key_layer_scaling: true
normalization: rmsnorm
layernorm_epsilon: 1.0e-05
do_layer_norm_weight_decay: false
make_vocab_size_divisible_by: 128
pre_process: true
post_process: true
persist_layer_norm: true
bias: false
activation: fast-swiglu
headscale: false
transformer_block_type: pre_ln
openai_gelu: false
normalize_attention_scores: true
position_embedding_type: rope
rotary_percentage: 1.0
attention_type: multihead
share_embeddings_and_output_weights: false
overlap_p2p_comm: false
batch_p2p_comm: true
num_query_groups: 8
tokenizer:
library: huggingface
type: meta-llama/Meta-Llama-3-70B
use_fast: true
native_amp_init_scale: 4294967296
native_amp_growth_interval: 1000
hysteresis: 2
fp32_residual_connection: false
fp16_lm_cross_entropy: false
megatron_amp_O2: true
grad_allreduce_chunk_size_mb: 125
grad_div_ar_fusion: true
gradient_accumulation_fusion: false
bias_activation_fusion: false
bias_dropout_add_fusion: false
masked_softmax_fusion: true
get_attention_mask_from_fusion: true
apply_rope_fusion: false
seed: 1234
resume_from_checkpoint: null
use_cpu_initialization: false
onnx_safe: false
apex_transformer_log_level: 30
gradient_as_bucket_view: false
sync_batch_comm: false
activations_checkpoint_granularity: full
activations_checkpoint_method: uniform
activations_checkpoint_num_layers: 1
num_micro_batches_with_partial_activation_checkpoints: null
activations_checkpoint_layers_per_pipeline: null
sequence_parallel: false
transformer_engine: true
fp8: false
fp8_e4m3: false
fp8_hybrid: true
fp8_margin: 0
fp8_interval: 1
fp8_amax_history_len: 1024
fp8_amax_compute_algo: max
reduce_amax: true
use_emha: false
data:
chat: true
chat_prompt_tokens:
system_turn_start: <extra_id_0>
turn_start: <extra_id_1>
label_start: <extra_id_2>
end_of_turn: '
'
end_of_name: '
'
sample: true
num_workers: 2
dataloader_type: single
train_ds:
file_path: /dataset/train.jsonl
global_batch_size: 384
micro_batch_size: 1
shuffle: true
memmap_workers: null
max_seq_length: 4096
min_seq_length: 1
drop_last: true
concat_sampling_probabilities: null
label_key: output
add_eos: false
add_sep: false
add_bos: false
truncation_field: input
index_mapping_dir: /indexmap_dir
prompt_template: '<extra_id_0>System
{system message}
<extra_id_1>User
{turn 1 user message}
<extra_id_1>Assistant
<extra_id_2>{turn 1 assistant label}
{turn 1 assistant message}
<extra_id_1>User
{turn 2 user message}
<extra_id_1>Assistant
<extra_id_2>{turn 2 assistant label}
{turn 2 assistant message}
<extra_id_1>'
hf_dataset: true
truncation_method: right
validation_ds:
file_path: /dataset/train.jsonl
names: null
global_batch_size: 384
micro_batch_size: 1
shuffle: false
memmap_workers: null
max_seq_length: 4096
min_seq_length: 1
drop_last: false
label_key: output
add_eos: false
add_sep: false
add_bos: false
write_predictions_to_file: false
output_file_path_prefix: null
truncation_field: input
index_mapping_dir: /indexmap_dir
prompt_template: '<extra_id_0>System
{system message}
<extra_id_1>User
{turn 1 user message}
<extra_id_1>Assistant
<extra_id_2>{turn 1 assistant label}
{turn 1 assistant message}
<extra_id_1>User
{turn 2 user message}
<extra_id_1>Assistant
<extra_id_2>{turn 2 assistant label}
{turn 2 assistant message}
<extra_id_1>'
tokens_to_generate: 32
hf_dataset: true
truncation_method: right
metric:
name: loss
average: null
num_classes: null
test_ds:
prompt_template: '<extra_id_0>System
{system message}
<extra_id_1>User
{turn 1 user message}
<extra_id_1>Assistant
<extra_id_2>{turn 1 assistant label}
{turn 1 assistant message}
<extra_id_1>User
{turn 2 user message}
<extra_id_1>Assistant
<extra_id_2>{turn 2 assistant label}
{turn 2 assistant message}
<extra_id_1>'
data_impl: jsonl
splits_string: null
seq_length: 8192
skip_warmup: true
reset_position_ids: false
reset_attention_mask: false
eod_mask_loss: false
index_mapping_dir: null
data_prefix:
train:
- /dataset/train.jsonl
validation:
- /dataset/val.jsonl
test:
- /dataset/val.jsonl
nsys_profile:
enabled: false
start_step: 10
end_step: 10
ranks:
- 0
gen_shape: false
optim:
name: distributed_fused_adam
lr: 2.0e-07
weight_decay: 0.1
betas:
- 0.9
- 0.98
sched:
name: CosineAnnealing
warmup_steps: 10
constant_steps: 1000
min_lr: 1.9999e-07
max_steps: 88
bucket_cap_mb: 200
overlap_grad_sync: false
contiguous_grad_buffer: true
rotary_base: 500000.0
precision: bf16
answer_only_loss: true
restore_from_path: /models/unpacked_llama3_70b_base
save_nemo_on_validation_end: true
use_flash_attention: null
pipeline_model_parallel_split_rank: 0
ppo:
trt_llm:
enable: true
reshard: true
max_input_len: 4096
max_input_tokens: 32768
model_type: LLaMAForCausalLM
unload_engine_train: false
rollout_micro_batch_size: 8
num_rollout_samples: 128
forward_micro_batch_size: 4
val_rollout_micro_batch_size: 8
num_val_samples: 128
offload_adam_states: true
entropy_bonus: 0.0
ratio_eps: 0.2
sampling_params:
use_greedy: false
temperature: 1.0
top_k: 0
top_p: 1.0
repetition_penalty: 1.0
add_BOS: false
all_probs: false
compute_logprob: false
end_strings:
- <|endoftext|>
- <extra_id_1>
length_params:
max_length: 2048
min_length: 1
peft:
peft_scheme: none
restore_from_path: null
restore_from_ckpt:
checkpoint_dir: null
checkpoint_name: null
lora_tuning:
target_modules:
- attention_qkv
adapter_dim: 32
adapter_dropout: 0.0
column_init_method: xavier
row_init_method: zero
layer_selection: null
weight_tying: false
position_embedding_strategy: null
offload_adam_states: true
enable_nge: true
target: nemo_aligner.models.nlp.gpt.megatron_gpt_ppo_actor.MegatronGPTActorModel
nemo_version: 2.0.0rc0