kokolamba
/

nli-model

Text Classification

natural-language-inference

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NLI Fine-tuned Model

Evaluation Results

Metric	Value
Loss	1.3435
Accuracy	0.2500
Precision	0.2042
Recall	0.2500
F1	0.2246

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Model size

396M params

Tensor type

F32

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Text Classification

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Dataset used to train kokolamba/nli-model

Evaluation results

Accuracy on sentence-transformers/all-nli
self-reported

0.250
F1 on sentence-transformers/all-nli
self-reported

0.225

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