Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 672119799
CO2 Emissions (in grams): 1583.7188188958198

Validation Metrics

Loss: 0.9590993523597717
Accuracy: 0.5827541666666667
Macro F1: 0.5806748283026683
Micro F1: 0.5827541666666667
Weighted F1: 0.5806748283026683
Macro Precision: 0.5834325027348383
Micro Precision: 0.5827541666666667
Weighted Precision: 0.5834325027348383
Macro Recall: 0.5827541666666667
Micro Recall: 0.5827541666666667
Weighted Recall: 0.5827541666666667

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/YXHugging/autotrain-xlm-roberta-base-reviews-672119799

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119799", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("YXHugging/autotrain-xlm-roberta-base-reviews-672119799", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)