TRL Integration

Trackio integrates natively with TRL so you can log metrics from any TRL trainer (SFTTrainer, DPOTrainer, GRPOTrainer, etc.) with minimal setup. Ensure you have the latest version of trl installed (version 1.2.0 or higher).

from datasets import Dataset
from trl import SFTConfig, SFTTrainer

# Create a small fake dataset
prompts = ["The capital of France is", "Hamlet was written by"] * 12
completions = [" Paris.", " Shakespeare."] * 12
dataset = Dataset.from_dict({"prompt": prompts, "completion": completions})

# Train a model using the TRL SFTTrainer API
trainer = SFTTrainer(
    model="Qwen/Qwen3-0.6B",
    args=SFTConfig(report_to="trackio", run_name="Qwen3-0.6B-sft"),
    train_dataset=dataset,
)
trainer.train()

Configuring Project and Space

Set the project and space ID directly in your TRL config (e.g. SFTConfig, DPOConfig, GRPOConfig):

from trl import SFTConfig

args = SFTConfig(
    report_to="trackio",
    run_name="my-run",
    project="my-project",
    trackio_space_id="username/space_id",
)

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