This is a model trained on rubert-base-cased from DeepPavlov for evaluating poems across several parameters: meaningfulness, grammar and emotionality (all parameters are binary). The accuracy for this model is 0.69 and F1 score is 0.8.

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Safetensors

Model size

178M params

Tensor type

F32

Inference Examples

Text Classification

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