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Chronos-2: Change default fine-tuning learning rate and remove experimental label #381

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Merged
merged 4 commits into from
Nov 18, 2025
Merged

Chronos-2: Change default fine-tuning learning rate and remove experimental label #381

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eb21fe6
Chronos-2: Change default learning rate to 1e-6
abdulfatir Nov 17, 2025
ba2e16b
Update notebook
abdulfatir Nov 17, 2025
312b73d
Remove experimental warning
abdulfatir Nov 17, 2025
f682332
Re-run notebook
abdulfatir Nov 18, 2025
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144 changes: 73 additions & 71 deletions notebooks/chronos-2-quickstart.ipynb
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10 changes: 2 additions & 8 deletions src/chronos/chronos2/pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,7 @@ def fit(
| Sequence[Mapping[str, TensorOrArray | Mapping[str, TensorOrArray | None]]]
| None = None,
context_length: int | None = None,
learning_rate: float = 1e-5,
learning_rate: float = 1e-6,
num_steps: int = 1000,
batch_size: int = 256,
output_dir: Path | str | None = None,
Expand All @@ -126,7 +126,7 @@ def fit(
context_length
The maximum context length used during fine-tuning, by default set to the model's default context length
learning_rate
The learning rate for the optimizer, by default 1e-5
The learning rate for the optimizer, by default 1e-6
num_steps
The number of steps to fine-tune for, by default 1000
batch_size
Expand All @@ -153,12 +153,6 @@ def fit(

from chronos.chronos2.trainer import Chronos2Trainer, EvaluateAndSaveFinalStepCallback

warnings.warn(
"Fine-tuning support is experimental and may be changed in future versions.",
category=FutureWarning,
stacklevel=2,
)

# Create a copy of the model to avoid modifying the original
config = deepcopy(self.model.config)
model = Chronos2Model(config).to(self.model.device) # type: ignore
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