File size: 3,778 Bytes
0ffd80a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 | # Directory settings
checkpoint_dir: "/lustre/scratch/data/polyglot_datasets/bengali/checkpoints/models/LilTii/v2"
train_dataset_dir:
# Total: ~99B
# Bengali Text (~40B)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_1" # 5.8B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_2" # 8.6B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_3" # 4.2B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_4" # 1.5B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_5" # 5.5M (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_1" # 5.8B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_2" # 8.6B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_3" # 4.2B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_4" # 1.5B (ben)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/edu_score_5" # 5.5M (ben)
# Edu English Text (~35B)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/fineweb_edu/edu_score_3" # 35.B (eng)
# Reasoning (~14.6B)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/math_meta_reasoning_filtered" # 1.2B (eng)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/math_meta_reasoning_filtered" # 1.2B (eng)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/nvidia_openscience" # 9.8B (eng)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/big_reasoning_traces" # 2.4B (eng)
# Edu Math Text (~9.5B)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/finemath_34b/edu_score_4" # 8.5B (eng)
- "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/finemath_34b/edu_score_5" # 1.0B (eng)
val_dataset_dir: "/lustre/scratch/data/polyglot_datasets/bengali/tokenized/validation_split"
dataset_type: "parquet"
cache_dir: "/lustre/mlnvme/data/polyglot/.cache"
# Data loading settings
pin_memory: true
num_workers_for_dataloader: 32
shuffle_dataset: true
# Model architecture settings
vocab_size: 49152
num_hidden_layers: 28
num_attention_heads: 16
num_key_value_heads: 8
head_dim: null
hidden_size: 1536
intermediate_size: 3072
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: 16
eval_micro_batch_size: 8
num_train_epochs: 1
warmup_steps: 2000
max_learning_rate: 0.0007
min_learning_rate: 0.0
weight_decay: 0.1
beta1: 0.9
beta2: 0.95
eps: 0.00000001
lr_decay_type: "wsd"
lr_decay_iters_coef: 0.0
seed: 1337
max_steps: 47500
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: "Polygl0t/LilTii-v0.2"
reference_model: "HuggingFaceTB/SmolLM2-360M"
# Checkpoint settings
resume_from_checkpoint: null
checkpointing_steps: 2500
begin_new_stage: false
stage_name: "Warmup-Stable"
# Miscellaneous settings
sanity_check: false
sanity_check_num_samples: 100000
wandb_token: null
wandb_id: "LilTii-v0.2"
wandb_project: "Polyglot"
wandb_desc: "Developing LLMs for low-resource languages" |