# Directory settings
checkpoint_dir: "/lustre/mlnvme/data/polyglot/portuguese/checkpoints/models/ablations/gigaverbo-edu"
train_dataset_dir:
  # Total: ~50B
  - /lustre/mlnvme/data/polyglot/portuguese/mix_edu
val_dataset_dir: "/lustre/mlnvme/data/polyglot/portuguese/mix_edu_val"
dataset_type: "parquet"
cache_dir: "/lustre/mlnvme/data/polyglot/.cache"

# Data loading settings
pin_memory: true
num_workers_for_dataloader: 8
shuffle_dataset: true
mask_eos_token: false
mask_pad_token: false

# Model architecture settings
vocab_size: 49152
num_hidden_layers: 28
num_attention_heads: 16
num_key_value_heads: 8
head_dim: 128
hidden_size: 2048
intermediate_size: 6144
max_position_embeddings: 4096
tie_word_embeddings: true
hidden_act: "silu"
output_hidden_states: false
attn_implementation: "flash_attention_2"
use_cache: false
no_rope_layer_interval: null
rope_theta: 50000.0
rope_scale_factor: null
rms_norm_eps: 0.000001

# Training settings
total_batch_size: 2097152
micro_batch_size: 4
eval_micro_batch_size: 2
num_train_epochs: 1
warmup_steps: 2000
max_learning_rate: 0.0008
min_learning_rate: 0.0
muon_learning_rate: 0.008
weight_decay: 0.1
beta1: 0.9
beta2: 0.95
eps: 0.00000001
lr_decay_type: "cosine"
use_sqrt: false
lr_decay_iters_coef: 1.0
seed: 1337
max_steps: 22000
max_grad_norm: 1.0

# Precision and optimization settings
torch_compile: false
mat_mul_precision: "highest"
tf32: true
bf16: true
gradient_checkpointing: false
use_liger_kernel: true
static_graph: false

# Hub settings
push_to_hub: false
hub_token: null
hub_model_id: null

# Tokenizer and Reference model
tokenizer_name_or_path: "/lustre/mlnvme/data/polyglot/portuguese/checkpoints/tokenizers/sp-bpe"
chat_template_path: null
reference_model: "HuggingFaceTB/SmolLM2-360M"
continual_pretraining: false

# Checkpoint settings
resume_from_checkpoint: null
checkpointing_steps: 2000
begin_new_stage: false
stage_name: "single_cosine"

# Miscellaneous settings
sanity_check: false
sanity_check_num_samples: 100000
wandb_token: null
wandb_id: "gigaverbo-edu-ablation"
wandb_project: "Polyglot"
wandb_desc: "Developing LLMs for low-resource languages"