Model: Zlovoblachko/dim3_BAAI_setfit_model
Author: Zlovoblachko
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, bert, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:BAAI/bge-small-en-v1.5, base_model:finetune:BAAI/bge-small-en-v1.5, model-index, region:us
Base models (finetune): id: BAAI/bge-small-en-v1.5
Card metadata: tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
widget: ('watching sports', 'csubj') [SEP] Argument [SEP] ('that can really become a struggle for someone', 'ccomp') [SEP] Argument4, ('First of all people can learn more about new sports disciplines', 'root') [SEP] Argument [SEP] ('and it can help them', 'conj') [SEP] Argument2, ('For example it can start and the wind will be very strong', 'root') [SEP] Elaboration [SEP] ('raining', 'xcomp') [SEP] Elaboration2, ('that some people watching TV', 'acl') [SEP] Argument [SEP] ('only to relax after work', 'advcl') [SEP] Argument3, ('watching sport programmes', 'csubj') [SEP] Argument [SEP] ('as is not a striking thing for me', 'advcl') [SEP] Argument3
metrics: accuracy
pipeline_tag: text-classification
library_name: setfit
inference: yes
base_model: BAAI/bge-small-en-v1.5
model-index: name: SetFit with BAAI/bge-small-en-v1.5
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.8228571428571428
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 26
Created: 2025-08-17 17:51:09