Gradient Accumulation Steps

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From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Gradient Accumulation Steps is Number of batches to accumulate gradients over before performing a backward pass.

20 facts·18 predicates·3 sources·1 in dispute

Mostly:enables(2), rdf:type(1), has identifier(1)

Inbound mentions (8)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`hasMember`Has Member(2)

Batch Size and Gradient Accumulationex:batch-size-and-gradient-accumulation
Training Hyperparameters Listtraining-hyperparameters-list

`batch-condition`Batch Condition(1)

Optimizer Updateex:optimizer-update

`controls-training-behavior`Controls Training Behavior(1)

Training Argumentsex:training-arguments

`has-parameter`Has Parameter(1)

Training Argumentsex:training-arguments

`is-enabled-by`Is Enabled by(1)

Gradient Accumulation Techniqueex:gradient-accumulation-technique

`relatedHyperparameter`Related Hyperparameter(1)

Batch Sizeex:batch-size

`setting`Setting(1)

Configuration Change 4ex:configuration-change-4

Other facts (19)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

19 facts

Predicate	Value	Ref
Enables	larger-effective-batch-size	[1]
Enables	Gradient Accumulation Technique	[2]
Rdf:type	Hyperparameter	[1]
Has Identifier	gradient_accumulation_steps	[1]
Description	Number of batches to accumulate gradients over before performing a backward pass	[1]
Typical Range	1 to 8	[1]
Use Case	limited-GPU-memory	[1]
Inverse of	Batches Accumulated Per Backward Pass	[1]
Mitigates	Gpu Memory Limitation	[1]
Lower Bound	1	[1]
Upper Bound	8	[1]
Related Hyperparameter	Batch Size	[1]
Triggers	Backward Pass	[1]
List Position	4	[1]
Has Parenthetical Identifier	gradient_accumulation_steps	[1]
Parameter Value	2	[2]
Enables Technique	Gradient Accumulation Technique	[2]
Previous Value	8	[3]
New Value	16	[3]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

20 undated

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typebeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

ex:Hyperparameter

—

hasIdentifierbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

gradient_accumulation_steps

—

descriptionbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

Number of batches to accumulate gradients over before performing a backward pass

—

typicalRangebeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

1 to 8

—

useCasebeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

limited-GPU-memory

—

labelbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

Gradient Accumulation Steps

—

inverseOfbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

ex:batches-accumulated-per-backward-pass

—

mitigatesbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

ex:gpu-memory-limitation

—

lowerBoundbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

—

upperBoundbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

—

relatedHyperparameterbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

ex:batch-size

—

triggersbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

ex:backward-pass

—

listPositionbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

—

enablesbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

larger-effective-batch-size

—

hasParentheticalIdentifierbeam/5afb4970-5c3b-4a25-839f-b4f61ca11963

gradient_accumulation_steps

—

parameter-valuebeam/9500e1c6-ed0c-41a2-ace0-794604c62109

—

enables-techniquebeam/9500e1c6-ed0c-41a2-ace0-794604c62109

ex:gradient-accumulation-technique

—

enablesbeam/9500e1c6-ed0c-41a2-ace0-794604c62109

ex:gradient-accumulation-technique

—

previousValueblah/watt-activation/12

—

newValueblah/watt-activation/12

References (3)

3 references

[1]5afb4970 5c3b 4a25 839f B4f61ca1196315 facts
ctx:claims/beam/5afb4970-5c3b-4a25-839f-b4f61ca11963
- full textbeam-chunk
  text/plain1 KBdoc:beam/5afb4970-5c3b-4a25-839f-b4f61ca11963
  Show excerpt
  - **Strategy**: Use a learning rate scheduler to adjust the learning rate during training. 2. **Batch Size (`per_device_train_batch_size`)**: - **Description**: Number of samples processed before the model is updated. - **Range**:…
[2]9500e1c6 Ed0c 41a2 Ace0 794604c621093 facts
ctx:claims/beam/9500e1c6-ed0c-41a2-ace0-794604c62109
- full textbeam-chunk
  text/plain1 KBdoc:beam/9500e1c6-ed0c-41a2-ace0-794604c62109
  Show excerpt
  - **Strategy**: Use `True` if your hardware supports it (e.g., NVIDIA GPUs with Tensor Cores). ### Example Configuration Here's an example configuration for fine-tuning Llama 2 13B: ```python from transformers import LlamaForCausalLM…
[3]122 facts
ctx:discord/blah/watt-activation/12
- full textwatt-activation-12
  text/plain3 KBdoc:agent/watt-activation-12/2b226561-3075-47ab-89b3-591d7663c93b
  Show excerpt
  [2026-02-27 14:42] xenonfun: the codebase already computes SVD in model.py:effective_rank (files: Screenshot_2026-02-27_at_9.41.31_AM.png) [2026-02-27 15:41] xenonfun: (files: Screenshot_2026-02-27_at_10.41.22_AM.png) [2026-02-27 15:44] xe…

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Gradient Accumulation Steps

Inbound mentions (8)

hasMemberHas Member(2)

batch-conditionBatch Condition(1)

controls-training-behaviorControls Training Behavior(1)

has-parameterHas Parameter(1)

is-enabled-byIs Enabled by(1)

relatedHyperparameterRelated Hyperparameter(1)

settingSetting(1)

Other facts (19)

Timeline

References (3)

See also

Keep researching

`hasMember`Has Member(2)

`batch-condition`Batch Condition(1)

`controls-training-behavior`Controls Training Behavior(1)

`has-parameter`Has Parameter(1)

`is-enabled-by`Is Enabled by(1)

`relatedHyperparameter`Related Hyperparameter(1)

`setting`Setting(1)