48 lines
1.3 KiB
ReStructuredText
48 lines
1.3 KiB
ReStructuredText
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###################################
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Supercharge training (intermediate)
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###################################
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************************
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Enable training features
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************************
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Enable advanced training features using Trainer arguments. These are SOTA techniques that are automatically integrated into your training loop without changes to your code.
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.. code::
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# train 1TB+ parameter models with Deepspeed/fsdp
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trainer = Trainer(
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devices=4,
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accelerator="gpu",
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strategy="deepspeed_stage_2",
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precision=16
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)
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# 20+ helpful arguments for rapid idea iteration
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trainer = Trainer(
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max_epochs=10,
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min_epochs=5,
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overfit_batches=1
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)
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# access the latest state of the art techniques
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trainer = Trainer(callbacks=[StochasticWeightAveraging(...)])
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----
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******************
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Extend the Trainer
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******************
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.. raw:: html
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<video width="100%" max-width="800px" controls autoplay muted playsinline
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src="https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/cb.m4v"></video>
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If you have multiple lines of code with similar functionalities, you can use *callbacks* to easily group them together and toggle all of those lines on or off at the same time.
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.. code::
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trainer = Trainer(callbacks=[AWSCheckpoints()])
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