Pokemons
Collection
5 items
•
Updated
•
2
Wartortle
Wartortle is a distill of bge-base-en-v1.5.
Intended purpose
This model is designed for use in semantic-autocomplete (click here for demo).
Make sure you also pass pipelineParams={{ pooling: "cls", normalize: true }} since the default pooling in the component is mean.
Usage
Other than within semantic-autocomplete, you can use this model same as bge-base-en-v1.5.
- Downloads last month
- 228
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.
Model tree for Mihaiii/Wartortle
Dataset used to train Mihaiii/Wartortle
Spaces using Mihaiii/Wartortle 4
Collection including Mihaiii/Wartortle
Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported70.403
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported32.890
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported64.373
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported82.038
- ap on MTEB AmazonPolarityClassificationtest set self-reported77.155
- f1 on MTEB AmazonPolarityClassificationtest set self-reported81.977
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported42.412
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported41.040
- map_at_1 on MTEB ArguAnatest set self-reported16.003
- map_at_10 on MTEB ArguAnatest set self-reported28.448