模型介绍
内容详情
替代品
模型简介
该模型是一个英语文本嵌入模型，主要用于文本分类和检索任务，在多个标准数据集上展示了优秀的性能。
模型特点
高性能文本分类
在Amazon产品评论分类任务上达到97.19%的准确率
强大的文本检索能力
在ArguAna检索任务上达到64.24的NDCG@10分数
多任务适应性
在多种文本处理任务上表现均衡，包括分类和检索
模型能力
文本分类
文本检索
语义相似度计算
文本嵌入生成
使用案例
电子商务
产品评论分类
对Amazon产品评论进行正面/负面分类
准确率97.19%
产品评论多分类
对Amazon产品评论进行星级分类
准确率59.53%
信息检索
论点检索
在ArguAna数据集上进行论点检索
NDCG@10 64.24
model-index:
- name: stella_en_400M_v5
results:
- dataset:
config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics:
- type: accuracy value: 92.35820895522387
- type: ap value: 70.81322736988783
- type: ap_weighted value: 70.81322736988783
- type: f1 value: 88.9505466159595
- type: f1_weighted value: 92.68630932872613
- type: main_score value: 92.35820895522387 task: type: Classification
- dataset:
config: default
name: MTEB AmazonPolarityClassification
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
split: test
type: mteb/amazon_polarity
metrics:
- type: accuracy value: 97.1945
- type: ap value: 96.08192192244094
- type: ap_weighted value: 96.08192192244094
- type: f1 value: 97.1936887167346
- type: f1_weighted value: 97.1936887167346
- type: main_score value: 97.1945 task: type: Classification
- dataset:
config: en
name: MTEB AmazonReviewsClassification (en)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics:
- type: accuracy value: 59.528000000000006
- type: f1 value: 59.21016819840188
- type: f1_weighted value: 59.21016819840188
- type: main_score value: 59.528000000000006 task: type: Classification
- dataset:
config: default
name: MTEB ArguAna
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
split: test
type: mteb/arguana
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- dataset:
config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics:
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