Model: eligabel/finetuning-sentiment-model-3000-samples
Author: eligabel
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, distilbert, text-classification, generated_from_trainer, dataset:imdb, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: license: apache-2.0
tags: generated_from_trainer
datasets: imdb
metrics: accuracy, f1
model-index: name: finetuning-sentiment-model-3000-samples
results: task: name: Text Classification
type: text-classification
dataset: name: imdb
type: imdb
config: plain_text
split: train
args: plain_text
metrics: name: Accuracy
type: accuracy
value: 0.8166666666666667
verified: no, name: F1
type: f1
value: 0.8307692307692307
verified: no
Likes: 0 | All-time downloads: 341
Created: 2022-10-03 18:02:03