Marko Tasic
pretrain core 2
508cb73
model_name: tangled-alpha-0.11-core
model_config:
name: tangled-alpha-0.11-core
hf_config: {}
block_size: 131072
n_layer: 32
n_embd: 512
vocab_size: 131072
padding_multiple: 512
padded_vocab_size: 131072
norm_class_name: RMSNorm
norm_eps: 1.0e-05
norm_qk: false
post_attention_norm: false
post_mlp_norm: false
parallel_residual: false
shared_attention_norm: false
n_head: 8
head_size: 64
n_query_groups: 8
attn_bias: false
rope_base: 27000
rotary_percentage: 1.0
rope_condense_ratio: 1
intermediate_size: 1365
bias: false
mlp_class_name: LLaMAMLP
gelu_approximate: none
n_expert: 0
n_expert_per_token: 0
scale_embeddings: false
lm_head_bias: false
out_dir: ../out/pretrain-core-2
precision: bf16-true
initial_checkpoint_dir: ../out/pretrain-core-1/checkpoint
data:
class_path: litgpt.data.LitData
init_args:
data_path: ../core-data-2-2049-4097-4097-4000/
seed: 42
num_workers: 32
train:
save_interval: 25
log_interval: 1
global_batch_size: 512
micro_batch_size: 2
lr_warmup_steps: 0
max_tokens: 1536801088
max_seq_length: 4097
tie_embeddings: false
max_norm: 1.0
min_lr: 1.0e-05
eval:
interval: 25
max_iters: 100
initial_validation: true
final_validation: true
evaluate_example: first
optimizer:
class_path: sophia_opt.SophiaG
init_args:
lr: 1.0e-05
betas:
- 0.965
- 0.99
rho: 0.04
weight_decay: 0.1
devices: auto
num_nodes: 1
tokenizer_dir: ../tokenizer
logger_name: wandb
seed: 23