Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1154042511
CO2 Emissions (in grams): 50.942111222257715

Validation Metrics

Loss: 0.7391096353530884
Accuracy: 0.672331747110809
Macro F1: 0.5302988889038903
Micro F1: 0.672331747110809
Weighted F1: 0.628333699928783
Macro Precision: 0.6916740835116003
Micro Precision: 0.672331747110809
Weighted Precision: 0.6810625595246631
Macro Recall: 0.5264405918447705
Micro Recall: 0.672331747110809
Weighted Recall: 0.672331747110809

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/snap/autotrain-argument-feedback-1154042511

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("snap/autotrain-argument-feedback-1154042511", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("snap/autotrain-argument-feedback-1154042511", use_auth_token=True)

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

outputs = model(**inputs)