autoevaluate/autoeval-eval-tweet_eval-sentiment-45124a-38605145054

---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- tweet_eval
eval_info:
task: multi_class_classification
model: siberett/roberta-sentiment-analysis-finetune
metrics: []
dataset_name: tweet_eval
dataset_config: sentiment
dataset_split: train
col_mapping:
text: text
target: label
---
# Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:

* Task: Multi-class Text Classification
* Model: siberett/roberta-sentiment-analysis-finetune
* Dataset: tweet_eval
* Config: sentiment
* Split: train

To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).

## Contributions

Thanks to [@emuggins](https://huggingface.co/emuggins) for evaluating this model.

原始信息汇总

数据集卡片

数据集概述

• 任务类型: 多类别文本分类
• 模型: siberett/roberta-sentiment-analysis-finetune
• 数据集: tweet_eval
• 配置: sentiment
• 分割: train

数据集详细信息

• 任务: 多类别分类
• 模型: siberett/roberta-sentiment-analysis-finetune
• 数据集名称: tweet_eval
• 数据集配置: sentiment
• 数据集分割: train
• 列映射:
  • text: text
  • target: label