Crasher222
/

kaggle-comp-test

Text Classification

Trained with AutoTrain

Inference Endpoints

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Model Finetuned from BERT-base for

Problem type: Multi-class Classification
Model ID: 25805800

Validation Metrics

Loss: 0.4422711133956909
Accuracy: 0.8615328555811976
Macro F1: 0.8642434650461513
Micro F1: 0.8615328555811976
Weighted F1: 0.8617743626671308
Macro Precision: 0.8649112225076049
Micro Precision: 0.8615328555811976
Weighted Precision: 0.8625407179375096
Macro Recall: 0.8640777539828228
Micro Recall: 0.8615328555811976
Weighted Recall: 0.8615328555811976

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Crasher222/kaggle-comp-test")

tokenizer = AutoTokenizer.from_pretrained("Crasher222/kaggle-comp-test")

inputs = tokenizer("I am in love with you", return_tensors="pt")

outputs = model(**inputs)

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Inference Examples

Text Classification

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