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tweak md format to H2 and update meta info
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lightning_examples/finetuning-scheduler/.meta.yml

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title: Finetuning Scheduler
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author: Dan Dale
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created: 2021-11-26
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updated: 2021-11-26
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created: 2021-11-29
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updated: 2021-11-29
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license: CC BY-SA
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build: 1
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tags:
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This notebook introduces the FinetuningScheduler callback and demonstrates the use of FinetuningScheduler to finetune
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a small foundational model on the [RTE](https://huggingface.co/datasets/viewer/?dataset=super_glue&config=rte) task
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of [SuperGLUE](https://super.gluebenchmark.com/) with iterative earlystopping defined according to a user-specified
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schedule. It uses HuggingFace's `datasets` and `transformers`` libraries to retrieve the relevant benchmark data and
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schedule. It uses HuggingFace's ``datasets`` and ``transformers`` libraries to retrieve the relevant benchmark data and
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foundational model weights.
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requirements:
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- transformers

lightning_examples/finetuning-scheduler/finetuning-scheduler.py

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# ---
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# %% [markdown]
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# # Scheduled Finetuning
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# ## Scheduled Finetuning
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#
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# <div style="display:inline" id="a1">
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#
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# %% [markdown]
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# <div id="superglue"></div>
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#
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# # Scheduled Finetuning For SuperGLUE
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# ## Scheduled Finetuning For SuperGLUE
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#
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# The following example demonstrates the use of ``FinetuningScheduler`` to finetune a small foundational model on the [RTE](https://huggingface.co/datasets/viewer/?dataset=super_glue&config=rte) task of [SuperGLUE](https://super.gluebenchmark.com/). Iterative early-stopping will be applied according to a user-specified schedule.
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#

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