Model: abhilash88/roberta-sentimentic
Author: abhilash88
Pipeline: text-classification
Tags: tensorboard, safetensors, roberta, sentiment-analysis, text-classification, imdb, sst2, fine-tuned, en, dataset:imdb, dataset:sst2, base_model:FacebookAI/roberta-base, base_model:finetune:FacebookAI/roberta-base, license:apache-2.0, model-index, region:us
Base models (finetune): id: FacebookAI/roberta-base
Card metadata: license: apache-2.0
base_model: roberta-base
tags: sentiment-analysis, text-classification, roberta, imdb, sst2, fine-tuned
datasets: imdb, sst2
language: en
metrics: accuracy, f1
model-index: name: RoBERTa-Sentimentic
results: task: type: text-classification
name: Text Classification
dataset: name: IMDB Movie Reviews
type: imdb
metrics: type: accuracy
value: 0.892
name: Accuracy
verified: no, type: f1
value: 0.891
name: F1-Score
verified: no, task: type: text-classification
name: Text Classification
dataset: name: Stanford Sentiment Treebank
type: sst2
metrics: type: accuracy
value: 0.915
name: Accuracy
verified: no, type: f1
value: 0.914
name: F1-Score
verified: no
widget: text: This movie is absolutely fantastic! The acting was superb and the plot kept me engaged throughout.
example_title: Positive Review, text: Terrible film with poor acting and a confusing storyline. Complete waste of time.
example_title: Negative Review, text: The cinematography was beautiful, but the story felt a bit rushed in the final act.
example_title: Mixed Review, text: An outstanding performance by the lead actor. Highly recommend this masterpiece!
example_title: Highly Positive, text: Boring, predictable, and poorly executed. One of the worst movies I've ever seen.
example_title: Very Negative
Likes: 0 | All-time downloads: 218
Created: 2025-07-05 15:25:47