Model: logasanjeev/emotions-analyzer-bert
Author: logasanjeev
Pipeline: text-classification
Library: transformers
Tags: transformers, onnx, safetensors, text-classification, pytorch, multi-label-classification, multi-class-classification, emotion, bert, go_emotions, emotion-classification, sentiment-analysis, tensorflow, en, dataset:google-research-datasets/go_emotions, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: language: en
license: mit
pipeline_tag: text-classification
tags: text-classification, transformers, pytorch, onnx, multi-label-classification, multi-class-classification, emotion, bert, go_emotions, emotion-classification, sentiment-analysis, tensorflow
datasets: google-research-datasets/go_emotions
metrics: f1, precision, recall, accuracy
widget: text: I’m just chilling today.
example_title: Neutral Example, text: Thank you for saving my life!
example_title: Gratitude Example, text: I’m nervous about my exam tomorrow.
example_title: Nervousness Example, text: I love my new puppy so much!
example_title: Love Example, text: I’m so relieved the storm passed.
example_title: Relief Example
base_model: google-bert/bert-base-uncased
base_model_relation: finetune
model-index: name: Emotion Analyzer Bert
results: task: type: multi-label-classification
dataset: name: GoEmotions
type: google-research-datasets/go_emotions
metrics: name: Micro F1 (Optimized Thresholds)
type: micro-f1
value: 0.6006
verified: no, name: Macro F1
type: macro-f1
value: 0.539
verified: no, name: Precision
type: precision
value: 0.5371
verified: no, name: Recall
type: recall
value: 0.6812
verified: no, name: Hamming Loss
type: hamming-loss
value: 0.0377
verified: no, name: Avg Positive Predictions
type: avg-positive-predictions
value: 1.4789
verified: no, task: type: multi-label-classification
dataset: name: GoEmotions
type: google-research-datasets/go_emotions
metrics: name: F1 (admiration)
type: f1
value: 0.6987
verified: no, name: F1 (amusement)
type: f1
value: 0.8071
verified: no, name: F1 (anger)
type: f1
value: 0.503
verified: no, name: F1 (annoyance)
type: f1
value: 0.3892
verified: no, name: F1 (approval)
type: f1
value: 0.3915
verified: no, name: F1 (caring)
type: f1
value: 0.4473
verified: no, name: F1 (confusion)
type: f1
value: 0.4714
verified: no, name: F1 (curiosity)
type: f1
value: 0.5781
verified: no, name: F1 (desire)
type: f1
value: 0.5229
verified: no, name: F1 (disappointment)
type: f1
value: 0.3333
verified: no, name: F1 (disapproval)
type: f1
value: 0.4323
verified: no, name: F1 (disgust)
type: f1
value: 0.4926
verified: no, name: F1 (embarrassment)
type: f1
value: 0.4912
verified: no, name: F1 (excitement)
type: f1
value: 0.4571
verified: no, name: F1 (fear)
type: f1
value: 0.586
verified: no, name: F1 (gratitude)
type: f1
value: 0.9102
verified: no, name: F1 (grief)
type: f1
value: 0.3333
verified: no, name: F1 (joy)
type: f1
value: 0.6135
verified: no, name: F1 (love)
type: f1
value: 0.8065
verified: no, name: F1 (nervousness)
type: f1
value: 0.4348
verified: no, name: F1 (optimism)
type: f1
value: 0.5564
verified: no, name: F1 (pride)
type: f1
value: 0.5217
verified: no, name: F1 (realization)
type: f1
value: 0.2513
verified: no, name: F1 (relief)
type: f1
value: 0.5833
verified: no, name: F1 (remorse)
type: f1
value: 0.68
verified: no, name: F1 (sadness)
type: f1
value: 0.557
verified: no, name: F1 (surprise)
type: f1
value: 0.5562
verified: no, name: F1 (neutral)
type: f1
value: 0.6867
verified: no
source: name: Kaggle Evaluation Notebook
url: https://www.kaggle.com/code/ravindranlogasanjeev/evaluation-logasanjeev-emotions-analyzer-bert/notebook
Likes: 7 | All-time downloads: 12598
Created: 2025-04-12 10:30:03