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27 lines
1.1 KiB
Python
27 lines
1.1 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .metricout import MetricOut, MetricOutTypedDict
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from mistralai.types import BaseModel
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from typing_extensions import TypedDict
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class CheckpointOutTypedDict(TypedDict):
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metrics: MetricOutTypedDict
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r"""Metrics at the step number during the fine-tuning job. Use these metrics to assess if the training is going smoothly (loss should decrease, token accuracy should increase)."""
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step_number: int
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r"""The step number that the checkpoint was created at."""
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created_at: int
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r"""The UNIX timestamp (in seconds) for when the checkpoint was created."""
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class CheckpointOut(BaseModel):
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metrics: MetricOut
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r"""Metrics at the step number during the fine-tuning job. Use these metrics to assess if the training is going smoothly (loss should decrease, token accuracy should increase)."""
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step_number: int
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r"""The step number that the checkpoint was created at."""
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created_at: int
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r"""The UNIX timestamp (in seconds) for when the checkpoint was created."""
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