train.py

from transformers import Trainer, TrainingArguments
from datasets import Dataset

def prepare_training_data():
    # Training data structure
    return {
        'pattern_type': ['channel', 'triangle'],
        'chart_code': ['// Channel code', '// Triangle code']
    }

def train_model():
    # Create dataset
    data = prepare_training_data()
    dataset = Dataset.from_dict(data)
    
    training_args = TrainingArguments(
        output_dir="./results",
        num_train_epochs=3,
        per_device_train_batch_size=8,
        save_steps=500,
    )
    
    trainer = Trainer(
        model=model,
        args=training_args,
        train_dataset=dataset,
    )
    
    trainer.train()