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# Evaluation
`sentence_transformers.sparse_encoder.evaluation` defines different classes, that can be used to evaluate the SparseEncoder model during training.
## SparseInformationRetrievalEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseInformationRetrievalEvaluator
```
## SparseNanoBEIREvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseNanoBEIREvaluator
```
## SparseEmbeddingSimilarityEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseEmbeddingSimilarityEvaluator
```
## SparseBinaryClassificationEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseBinaryClassificationEvaluator
```
## SparseTripletEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseTripletEvaluator
```
## SparseRerankingEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseRerankingEvaluator
```
## SparseTranslationEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseTranslationEvaluator
```
## SparseMSEEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseMSEEvaluator
```
## ReciprocalRankFusionEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.ReciprocalRankFusionEvaluator |