Upload train_with_trackio.py with huggingface_hub

train_with_trackio.py

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+# /// script
+# requires-python = ">=3.10"
+# dependencies = ["trl", "datasets", "trackio"]
+# ///
+"""Simple SFT training WITH trackio - logs may block on HF Jobs."""
+
+import sys
+sys.stdout.reconfigure(line_buffering=True)
+
+from datasets import load_dataset
+from trl import SFTTrainer, SFTConfig
+
+print("=" * 50)
+print("Training WITH Trackio")
+print("=" * 50)
+
+dataset = load_dataset("trl-lib/Capybara", split="train[:1000]")
+print(f"Dataset loaded: {len(dataset)} samples")
+
+config = SFTConfig(
+    output_dir="./output",
+    max_steps=50,
+    logging_steps=10,
+    report_to="trackio",
+)
+
+trainer = SFTTrainer(
+    model="Qwen/Qwen2.5-0.5B",
+    train_dataset=dataset,
+    args=config,
+)
+
+print("Starting training...")
+trainer.train()
+print("Training complete!")
+print("=" * 50)