Add files using large-upload tool
Browse files- model_config.yaml +261 -0
model_config.yaml
ADDED
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| 1 |
+
mcore_gpt: true
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| 2 |
+
micro_batch_size: 1
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| 3 |
+
global_batch_size: 256
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| 4 |
+
tensor_model_parallel_size: 8
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| 5 |
+
pipeline_model_parallel_size: 4
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| 6 |
+
virtual_pipeline_model_parallel_size: null
|
| 7 |
+
encoder_seq_length: 4096
|
| 8 |
+
max_position_embeddings: 4096
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| 9 |
+
num_layers: 96
|
| 10 |
+
hidden_size: 18432
|
| 11 |
+
ffn_hidden_size: 73728
|
| 12 |
+
num_attention_heads: 96
|
| 13 |
+
init_method_std: 0.0063
|
| 14 |
+
use_scaled_init_method: true
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| 15 |
+
hidden_dropout: 0.0
|
| 16 |
+
attention_dropout: 0.0
|
| 17 |
+
ffn_dropout: 0.0
|
| 18 |
+
kv_channels: null
|
| 19 |
+
apply_query_key_layer_scaling: true
|
| 20 |
+
normalization: layernorm1p
|
| 21 |
+
layernorm_epsilon: 1.0e-05
|
| 22 |
+
do_layer_norm_weight_decay: false
|
| 23 |
+
make_vocab_size_divisible_by: 128
|
| 24 |
+
pre_process: true
|
| 25 |
+
post_process: true
|
| 26 |
+
persist_layer_norm: true
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| 27 |
+
bias: false
|
| 28 |
+
activation: squared-relu
|
| 29 |
+
headscale: false
|
| 30 |
+
transformer_block_type: pre_ln
|
| 31 |
+
openai_gelu: false
|
| 32 |
+
normalize_attention_scores: true
|
| 33 |
+
position_embedding_type: rope
|
| 34 |
+
rotary_percentage: 0.5
|
| 35 |
+
attention_type: multihead
|
| 36 |
+
share_embeddings_and_output_weights: false
|
| 37 |
+
num_query_groups: 8
|
| 38 |
+
tokenizer:
|
| 39 |
+
library: sentencepiece
|
| 40 |
+
type: null
|
| 41 |
+
model: nemo:8223bf8eaa194eb8920af568bb52e2d0_megatron_2.model
|
| 42 |
+
vocab_file: null
|
| 43 |
+
merge_file: null
|
| 44 |
+
tokenizer_model: nemo:eb5528fdec5c4083affa2c97958eeef7_megatron_2.model
|
| 45 |
+
sentencepiece_legacy: false
|
| 46 |
+
native_amp_init_scale: 4294967296
|
| 47 |
+
native_amp_growth_interval: 1000
|
| 48 |
+
hysteresis: 2
|
| 49 |
+
fp32_residual_connection: false
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| 50 |
+
fp16_lm_cross_entropy: false
|
| 51 |
+
megatron_amp_O2: true
|
| 52 |
+
grad_allreduce_chunk_size_mb: 125
|
| 53 |
+
grad_div_ar_fusion: true
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| 54 |
+
gradient_accumulation_fusion: false
|
| 55 |
+
bias_activation_fusion: false
|
| 56 |
+
bias_dropout_add_fusion: false
|
| 57 |
+
masked_softmax_fusion: true
|
| 58 |
+
seed: 1234
|
| 59 |
+
resume_from_checkpoint: null
|
| 60 |
+
use_cpu_initialization: false
|
| 61 |
+
onnx_safe: false
|
| 62 |
+
apex_transformer_log_level: 30
|
| 63 |
+
gradient_as_bucket_view: false
|
| 64 |
+
sync_batch_comm: false
|
| 65 |
+
activations_checkpoint_granularity: null
|
| 66 |
+
activations_checkpoint_method: null
|
| 67 |
+
activations_checkpoint_num_layers: 1
|
| 68 |
+
num_micro_batches_with_partial_activation_checkpoints: null
|
| 69 |
+
activations_checkpoint_layers_per_pipeline: null
|
| 70 |
+
sequence_parallel: false
|
| 71 |
+
transformer_engine: false
|
| 72 |
+
fp8: false
|
| 73 |
+
fp8_e4m3: false
|
| 74 |
+
fp8_hybrid: false
|
| 75 |
+
fp8_margin: 0
|
| 76 |
+
fp8_interval: 1
|
| 77 |
+
fp8_amax_history_len: 1
|
| 78 |
+
fp8_amax_compute_algo: most_recent
|
| 79 |
+
reduce_amax: true
|
| 80 |
+
use_emha: false
|
| 81 |
+
optim:
|
| 82 |
+
name: distributed_fused_adam
|
| 83 |
+
lr: 3.002e-07
|
| 84 |
+
weight_decay: 0.1
|
| 85 |
+
betas:
|
| 86 |
+
- 0.9
|
| 87 |
+
- 0.98
|
| 88 |
+
sched:
|
| 89 |
+
name: CosineAnnealing
|
| 90 |
+
warmup_steps: 10
|
| 91 |
+
constant_steps: 400
|
| 92 |
+
min_lr: 3.0e-07
|
| 93 |
+
bucket_cap_mb: 200
|
| 94 |
+
overlap_grad_sync: false
|
| 95 |
+
contiguous_grad_buffer: true
|
| 96 |
+
precision: bf16-mixed
|
| 97 |
+
data:
|
| 98 |
+
chat: true
|
| 99 |
+
chat_prompt_tokens:
|
| 100 |
+
system_turn_start: <extra_id_0>
|
| 101 |
+
turn_start: <extra_id_1>
|
| 102 |
+
label_start: <extra_id_2>
|
| 103 |
+
end_of_turn: '
|
| 104 |
+
|
| 105 |
+
'
|
| 106 |
+
end_of_name: '
|
| 107 |
+
|
| 108 |
+
'
|
| 109 |
+
sample: true
|
| 110 |
+
num_workers: 2
|
| 111 |
+
dataloader_type: single
|
| 112 |
+
train_ds:
|
| 113 |
+
file_path: /dataset/daring-anteater_commercial.shuf.removelong.jsonl
|
| 114 |
+
global_batch_size: 128
|
| 115 |
+
micro_batch_size: 1
|
| 116 |
+
shuffle: true
|
| 117 |
+
memmap_workers: null
|
| 118 |
+
max_seq_length: 4096
|
| 119 |
+
min_seq_length: 1
|
| 120 |
+
drop_last: true
|
| 121 |
+
concat_sampling_probabilities: null
|
| 122 |
+
label_key: output
|
| 123 |
+
add_eos: false
|
| 124 |
+
add_sep: false
|
| 125 |
+
add_bos: false
|
| 126 |
+
truncation_field: input
|
| 127 |
+
index_mapping_dir: /indexmap_dir
|
| 128 |
+
prompt_template: '<extra_id_0>System
|
| 129 |
+
|
| 130 |
+
{system message}
|
| 131 |
+
|
| 132 |
+
<extra_id_1>User
|
| 133 |
+
|
| 134 |
+
{turn 1 user message}
|
| 135 |
+
|
| 136 |
+
<extra_id_1>Assistant
|
| 137 |
+
|
| 138 |
+
<extra_id_2>{turn 1 assistant label}
|
| 139 |
+
|
| 140 |
+
{turn 1 assistant message}
|
| 141 |
+
|
| 142 |
+
<extra_id_1>User
|
| 143 |
+
|
| 144 |
+
{turn 2 user message}
|
| 145 |
+
|
| 146 |
+
<extra_id_1>Assistant
|
| 147 |
+
|
| 148 |
+
<extra_id_2>{turn 2 assistant label}
|
| 149 |
+
|
| 150 |
+
{turn 2 assistant message}
|
| 151 |
+
|
| 152 |
+
<extra_id_1>'
|
| 153 |
+
hf_dataset: true
|
| 154 |
+
truncation_method: right
|
| 155 |
+
validation_ds:
|
| 156 |
+
file_path: /dataset/daring-anteater_commercial.shuf.removelong.jsonl
|
| 157 |
+
names: null
|
| 158 |
+
global_batch_size: 128
|
| 159 |
+
micro_batch_size: 1
|
| 160 |
+
shuffle: false
|
| 161 |
+
memmap_workers: null
|
| 162 |
+
max_seq_length: 4096
|
| 163 |
+
min_seq_length: 1
|
| 164 |
+
drop_last: false
|
| 165 |
+
label_key: output
|
| 166 |
+
add_eos: false
|
| 167 |
+
add_sep: false
|
| 168 |
+
add_bos: false
|
| 169 |
+
write_predictions_to_file: false
|
| 170 |
+
output_file_path_prefix: null
|
| 171 |
+
truncation_field: input
|
| 172 |
+
index_mapping_dir: /indexmap_dir
|
| 173 |
+
prompt_template: '<extra_id_0>System
|
| 174 |
+
|
| 175 |
+
{system message}
|
| 176 |
+
|
| 177 |
+
<extra_id_1>User
|
| 178 |
+
|
| 179 |
+
{turn 1 user message}
|
| 180 |
+
|
| 181 |
+
<extra_id_1>Assistant
|
| 182 |
+
|
| 183 |
+
<extra_id_2>{turn 1 assistant label}
|
| 184 |
+
|
| 185 |
+
{turn 1 assistant message}
|
| 186 |
+
|
| 187 |
+
<extra_id_1>User
|
| 188 |
+
|
| 189 |
+
{turn 2 user message}
|
| 190 |
+
|
| 191 |
+
<extra_id_1>Assistant
|
| 192 |
+
|
| 193 |
+
<extra_id_2>{turn 2 assistant label}
|
| 194 |
+
|
| 195 |
+
{turn 2 assistant message}
|
| 196 |
+
|
| 197 |
+
<extra_id_1>'
|
| 198 |
+
tokens_to_generate: 32
|
| 199 |
+
hf_dataset: true
|
| 200 |
+
truncation_method: right
|
| 201 |
+
metric:
|
| 202 |
+
name: loss
|
| 203 |
+
average: null
|
| 204 |
+
num_classes: null
|
| 205 |
+
test_ds:
|
| 206 |
+
prompt_template: '<extra_id_0>System
|
| 207 |
+
|
| 208 |
+
{system message}
|
| 209 |
+
|
| 210 |
+
<extra_id_1>User
|
| 211 |
+
|
| 212 |
+
{turn 1 user message}
|
| 213 |
+
|
| 214 |
+
<extra_id_1>Assistant
|
| 215 |
+
|
| 216 |
+
<extra_id_2>{turn 1 assistant label}
|
| 217 |
+
|
| 218 |
+
{turn 1 assistant message}
|
| 219 |
+
|
| 220 |
+
<extra_id_1>User
|
| 221 |
+
|
| 222 |
+
{turn 2 user message}
|
| 223 |
+
|
| 224 |
+
<extra_id_1>Assistant
|
| 225 |
+
|
| 226 |
+
<extra_id_2>{turn 2 assistant label}
|
| 227 |
+
|
| 228 |
+
{turn 2 assistant message}
|
| 229 |
+
|
| 230 |
+
<extra_id_1>'
|
| 231 |
+
data_impl: jsonl
|
| 232 |
+
splits_string: null
|
| 233 |
+
seq_length: 4096
|
| 234 |
+
skip_warmup: true
|
| 235 |
+
reset_position_ids: false
|
| 236 |
+
reset_attention_mask: false
|
| 237 |
+
eod_mask_loss: false
|
| 238 |
+
index_mapping_dir: /indexmap_dir
|
| 239 |
+
data_prefix:
|
| 240 |
+
train:
|
| 241 |
+
- /datasets/v30_benign-walrus_clip153600.jsonl
|
| 242 |
+
validation:
|
| 243 |
+
- /datasets/v30_benign-walrus_clip153600.jsonl
|
| 244 |
+
test:
|
| 245 |
+
- /datasets/v30_benign-walrus_clip153600.jsonl
|
| 246 |
+
answer_only_loss: true
|
| 247 |
+
restore_from_path: /models/340B_100p_CT_100B
|
| 248 |
+
save_nemo_on_validation_end: true
|
| 249 |
+
use_flash_attention: null
|
| 250 |
+
pipeline_model_parallel_split_rank: 0
|
| 251 |
+
dpo:
|
| 252 |
+
log_prob_forward_micro_batch_size: 2
|
| 253 |
+
ref_policy_kl_penalty: 0.3
|
| 254 |
+
average_log_probs: false
|
| 255 |
+
sft_loss_coeff: 1.0e-05
|
| 256 |
+
optimize_ref_policy_kl_penalty: false
|
| 257 |
+
preference_loss: reward_rev_dpo
|
| 258 |
+
gt_reward_scale: 1.0
|
| 259 |
+
apply_rope_fusion: false
|
| 260 |
+
target: nemo.collections.nlp.models.language_modeling.megatron_gpt_model.MegatronGPTModel
|
| 261 |
+
nemo_version: 1.22.0
|