Giratina
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Mihaiii/Wartortle
- model: TaylorAI/bge-micro-v2
merge_method: slerp
base_model: TaylorAI/bge-micro-v2
parameters:
t:
- value: 0.5
dtype: float32
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Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported69.567
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported31.399
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported63.139
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported74.735
- ap on MTEB AmazonPolarityClassificationtest set self-reported69.233
- f1 on MTEB AmazonPolarityClassificationtest set self-reported74.616
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported35.356
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported35.165
- map_at_1 on MTEB ArguAnatest set self-reported17.141
- map_at_10 on MTEB ArguAnatest set self-reported28.292
- map_at_100 on MTEB ArguAnatest set self-reported29.532
- map_at_1000 on MTEB ArguAnatest set self-reported29.580
- map_at_20 on MTEB ArguAnatest set self-reported29.048
- map_at_3 on MTEB ArguAnatest set self-reported24.277
- map_at_5 on MTEB ArguAnatest set self-reported26.339
- mrr_at_1 on MTEB ArguAnatest set self-reported17.781