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fcf98e0 | 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 | """HawkGPT 0.3 — Config: fast learning, math-focused, efficient."""
import os
PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.path.join(PROJECT_DIR, "data")
CHECKPOINT_DIR = os.path.join(PROJECT_DIR, "checkpoints")
LOG_DIR = os.path.join(PROJECT_DIR, "logs")
TOKENIZER_PATH = os.path.join(DATA_DIR, "tokenizer.json")
DATA_TEXT_PATH = os.path.join(DATA_DIR, "training_corpus.txt")
MAX_SEQ_LEN = 256
TRAIN_SPLIT = 0.9
VOCAB_SIZE = 32000
# Model — ~30M params
EMBED_DIM = 512
NUM_HEADS = 8
NUM_LAYERS = 8
FF_DIM = 2048
DROPOUT = 0.05 # Low dropout — we want to memorize math
BATCH_SIZE = 16
GRAD_ACCUM_STEPS = 4 # Effective batch = 64
LEARNING_RATE = 5e-4 # Aggressive LR for fast convergence
WEIGHT_DECAY = 0.01
WARMUP_STEPS = 200
MAX_EPOCHS = 30
PATIENCE = 10
MIXED_PRECISION = False # float32 — stable for 30M model
MAX_GRAD_NORM = 1.0
# Checkpointing
SAVE_EVERY_N_EPOCHS = 1 # Save checkpoint every N epochs
KEEP_TOP_N_CHECKPOINTS = 3
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