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.

Downloads last month
15
Safetensors
Model size
178M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.