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administration.mdassistants-threads.mdbatch-processing.mdbeta-realtime.mdchat-completions.mdconfiguration-management.mdcontainer-content.mdcore-client.mdembeddings.mdevaluation-testing.mdfeedback-collections.mdfile-management.mdfine-tuning.mdframework-integrations.mdindex.mdkey-management.mdmodels.mdmultimodal-apis.mdobservability-analytics.mdprompt-management.mdprovider-integration.mdtext-completions.mduploads.mdvector-stores.md

fine-tuning.mddocs/

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# Fine-Tuning

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Model fine-tuning capabilities with job management, checkpoint handling, and training monitoring.

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## Capabilities

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```python { .api }

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class FineTuning:

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jobs: Jobs

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checkpoints: Checkpoints

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class Jobs:

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def create(self, **kwargs): ...

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def list(self, **kwargs): ...

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def retrieve(self, **kwargs): ...

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def cancel(self, **kwargs): ...

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class Checkpoints:

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def list(self, **kwargs): ...

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def retrieve(self, **kwargs): ...

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```

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## Usage Examples

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```python

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# Create fine-tuning job

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job = portkey.fine_tuning.jobs.create(

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training_file="file-123",

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model="gpt-3.5-turbo"

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)

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# Monitor job

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job_status = portkey.fine_tuning.jobs.retrieve(job.id)

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```