Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 17923129
CO2 Emissions (in grams): 610.861733873082

Validation Metrics

Loss: 0.2319454699754715
Accuracy: 0.9264228741381642
Macro F1: 0.6730537318152493
Micro F1: 0.9264228741381642
Weighted F1: 0.9251493598895151
Macro Precision: 0.7767479491141245
Micro Precision: 0.9264228741381642
Weighted Precision: 0.9277971545757154
Macro Recall: 0.6617262519071917
Micro Recall: 0.9264228741381642
Weighted Recall: 0.9264228741381642

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 AutoNLP"}' https://api-inference.huggingface.co/models/emekaboris/autonlp-txc-17923129

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("emekaboris/autonlp-txc-17923129", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("emekaboris/autonlp-txc-17923129", use_auth_token=True)

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

outputs = model(**inputs)