tensorflow
config_error
ai_generated
true
ValueError: loss function incompatible with model output
ID: tensorflow/loss-function-mismatch
85%Fix Rate
88%Confidence
3Evidence
2023-01-01First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 2 | active | — | — | — |
Root Cause
Loss function doesnt match model output activation.
genericWorkarounds
-
92% success Match: sigmoid+binary_crossentropy or softmax+categorical_crossentropy
-
90% success Use from_logits=True to let loss function handle activation
Dead Ends
Common approaches that don't work:
-
Use MSE for all classification tasks
82% fail
Wrong loss for classification
-
Add sigmoid then use binary_crossentropy
78% fail
Double sigmoid problem