Upload demo_train.py with huggingface_hub

demo_train.py

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+#!/usr/bin/env python3
+# /// script
+# dependencies = [
+#     "trl>=0.12.0",
+#     "peft>=0.7.0",
+#     "transformers>=4.36.0",
+#     "accelerate>=0.24.0",
+# ]
+# ///
+
+from datasets import load_dataset
+from peft import LoraConfig
+from trl import SFTTrainer, SFTConfig
+import os
+
+print("🚀 Starting TRL + Trackio Demo")
+print("=" * 50)
+
+# Load a tiny dataset (just 50 examples for demo)
+print("\n📊 Loading dataset...")
+dataset = load_dataset("trl-lib/Capybara", split="train[:50]")
+print(f"✅ Dataset loaded: {len(dataset)} examples")
+
+# Get username for hub push
+username = os.environ.get("HF_USERNAME", "evalstate")  # fallback to evalstate
+
+# Training configuration with Trackio enabled
+print("\n⚙️  Configuring training...")
+config = SFTConfig(
+    # Output and Hub settings
+    output_dir="trl-demo",
+    push_to_hub=True,
+    hub_model_id=f"{username}/trl-trackio-demo",
+
+    # Quick demo settings
+    max_steps=10,  # Very short for demo
+    per_device_train_batch_size=2,
+
+    # Logging
+    logging_steps=2,
+
+    # Trackio monitoring - this is the key!
+    report_to="trackio",
+
+    # Learning rate
+    learning_rate=2e-5,
+)
+
+# LoRA configuration (reduces memory usage)
+print("🔧 Setting up LoRA...")
+peft_config = LoraConfig(
+    r=8,
+    lora_alpha=16,
+    lora_dropout=0.05,
+    bias="none",
+    task_type="CAUSAL_LM",
+)
+
+# Initialize trainer
+print("\n🎯 Initializing trainer...")
+trainer = SFTTrainer(
+    model="Qwen/Qwen2.5-0.5B",
+    train_dataset=dataset,
+    args=config,
+    peft_config=peft_config,
+)
+
+# Train!
+print("\n🏃 Training started...")
+print("📈 Trackio will track: loss, learning rate, GPU usage, memory, throughput")
+print("-" * 50)
+trainer.train()
+
+# Save to Hub
+print("\n💾 Pushing to Hub...")
+trainer.push_to_hub()
+
+print("\n✅ Demo complete!")
+print(f"📦 Model saved to: https://huggingface.co/{username}/trl-trackio-demo")
+print("📊 Check Trackio for training metrics and visualizations!")