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README.md

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 # Model Card for Model ID
 
-UPDATE: Thanks to the work of my student [Serdar Gülbahar](https://github.com/serdardoesml), the reason for this model scoring well has been traced to a few bugs in the babylm evaluation pipeline.
+This is a model I accidentally trained with too low a batch size, causing the training loss to spike and essentially fail.
+I found it amusing that it nevertheless does very well on EWoK, Entity Tracking, Adjective Nominalization, COMPS, and AoA. 
+Maybe this says something about ourselves, how so many in society fail upwards... food for thought.
+
+
+### UPDATE 
+Thanks to the work of my student [Serdar Gülbahar](https://github.com/serdardoesml), the reason for this model scoring well has been traced to a few bugs in the babylm evaluation pipeline.
 The issue is currently being fixed here: https://github.com/babylm/evaluation-pipeline-2025/issues/34
 
 After this is fixed, this model should perform quite poorly, as expected.
@@ -13,7 +19,5 @@ After this is fixed, this model should perform quite poorly, as expected.
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-This is a model I accidentally trained with too low a batch size, causing the training loss to spike and essentially fail.
-I found it amusing that it nevertheless does very well on EWoK, Entity Tracking, Adjective Nominalization, COMPS, and AoA. 
-Maybe this says something about ourselves, how so many in society fail upwards... food for thought.
+