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# /// script
# dependencies = ["trl>=0.12.0", "peft>=0.7.0", "transformers>=4.45.0", "datasets", "accelerate", "torch"]
# ///
"""Fine-tune Qwen3-0.6B on CodeForces-CoTS (100 examples)"""
import os
os.environ["TOKENIZERS_PARALLELISM"] = "false"
from datasets import load_dataset
from peft import LoraConfig
from trl import SFTTrainer, SFTConfig
import torch
print(f"CUDA available: {torch.cuda.is_available()}")
if torch.cuda.is_available():
print(f"GPU: {torch.cuda.get_device_name(0)}")
print(f"VRAM: {torch.cuda.get_device_properties(0).total_memory / 1024**3:.1f} GB")
# Load 100 examples
print("\nLoading dataset...")
dataset = load_dataset("open-r1/codeforces-cots", "solutions", split="train").select(range(100))
print(f"Dataset: {len(dataset)} examples")
# Split: 90 train, 10 val
splits = dataset.train_test_split(test_size=0.1, seed=42)
train_ds, val_ds = splits["train"], splits["test"]
print(f"Train: {len(train_ds)}, Val: {len(val_ds)}")
peft_config = LoraConfig(
r=8,
lora_alpha=16,
lora_dropout=0.05,
target_modules=["q_proj", "k_proj", "v_proj", "o_proj"],
bias="none",
task_type="CAUSAL_LM"
)
# 90 examples, batch=1, accum=4 -> ~22 steps/epoch
# logging every 2 steps = every ~8 examples
training_args = SFTConfig(
output_dir="./qwen3-0.6b-codeforces-cots",
num_train_epochs=1,
per_device_train_batch_size=1,
gradient_accumulation_steps=4,
learning_rate=2e-4,
warmup_ratio=0.1,
logging_steps=2, # Log every ~8 examples
logging_first_step=True,
save_strategy="no",
eval_strategy="steps",
eval_steps=5, # Eval every ~20 examples
max_length=1024,
push_to_hub=True,
hub_model_id="gilbaes/qwen3-0.6b-codeforces-cots",
report_to="none",
bf16=True,
gradient_checkpointing=True,
optim="adamw_torch_fused",
)
print("\nInitializing trainer...")
trainer = SFTTrainer(
model="Qwen/Qwen3-0.6B",
train_dataset=train_ds,
eval_dataset=val_ds,
peft_config=peft_config,
args=training_args,
)
print(f"Trainable params: {trainer.model.num_parameters(only_trainable=True):,}")
print(f"Total params: {trainer.model.num_parameters():,}")
print("\n" + "="*50)
print("TRAINING START")
print("="*50 + "\n")
trainer.train()
print("\n" + "="*50)
print("PUSHING TO HUB")
print("="*50)
trainer.push_to_hub()
print("\nDone! Model: https://huggingface.co/gilbaes/qwen3-0.6b-codeforces-cots")
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