Model: dstefa/roberta-base_stress_classification
Author: dstefa
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, safetensors, roberta, text-classification, stress, classification, glassdoor, base_model:FacebookAI/roberta-base, base_model:finetune:FacebookAI/roberta-base, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: FacebookAI/roberta-base
Card metadata: license: mit
base_model: roberta-base
tags: stress, classification, glassdoor
metrics: accuracy, f1, precision, recall
widget: text: They also caused so much stress because some leaders valued optics over output.
example_title: Stressed 1 Example, text: Way too much work pressure.
example_title: Stressed 2 Example, text: Understaffed, lots of deck revisions, unpredictable, terrible technology.
example_title: Stressed 3 Example, text: Nice environment good work life balance.
example_title: Not Stressed 1 Example
model-index: name: roberta-base_topic_classification_nyt_news
results: task: name: Text Classification
type: text-classification
dataset: name: New_York_Times_Topics
type: News
metrics: type: F1
name: F1
value: 0.97
verified: no, type: accuracy
name: accuracy
value: 0.97
verified: no, type: precision
name: precision
value: 0.97
verified: no, type: recall
name: recall
value: 0.97
verified: no
pipeline_tag: text-classification
Likes: 1 | All-time downloads: 1582
Created: 2024-01-23 12:04:58