fyaronskiy
This is ModernBERT-large model finetuned on goemotions dataset for multilabel classification. Model can be used to extract all emotions from english text or detect certain emotions. Thresholds are selected on validation set by maximizing f1 macro over all labels. You can use Flash Attention 2 to speed up inference.
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
Unknown
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
11 of 22 public signals
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342
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7
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Jan 2025
Released
3/5 signals
0/4 signals
3/5 signals
3/4 signals
2/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
This section gives the plain-English basics first: what the model is, how large it is, how much context it can handle, and whether it is still actively supported.
This tells you how you can use the model in practice: whether weights are open, whether an API exists, and what kinds of input or output it supports.
Capabilities