Slow Convergence
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Slow Convergence has 3 facts recorded in Dontopedia across 2 references.
Maturity scale
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hasConHas Con(1)
- Sgd
ex:SGD
Other facts (3)
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| Predicate | Value | Ref |
|---|---|---|
| Con of | Sgd | [1] |
| Rdf:type | Training Issue | [2] |
| Decoded As | Loss Decreases Too Slowly | [2] |
Timeline
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References (2)
ctx:claims/beam/bdb79a50-0fd6-4291-8c09-f51fcbaf47bb- full textbeam-chunktext/plain1 KB
doc:beam/bdb79a50-0fd6-4291-8c09-f51fcbaf47bbShow excerpt
[Turn 9471] Assistant: Using a different optimizer can indeed make a significant difference in the performance and stability of your model training. Different optimizers have various characteristics that can affect convergence speed, stabil…
ctx:claims/beam/23b6c81e-dd8a-4859-9fb1-ea176678dd6e- full textbeam-chunktext/plain1 KB
doc:beam/23b6c81e-dd8a-4859-9fb1-ea176678dd6eShow excerpt
[Turn 9473] Assistant: Choosing the right learning rate is crucial for the performance and stability of your model training. For the Adam optimizer, a common starting point is a learning rate in the range of \(0.001\) to \(0.0001\). Here ar…
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