Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1181044057
CO2 Emissions (in grams): 1.2309703499286417

Validation Metrics

Loss: 0.896309494972229
Accuracy: 0.7192982456140351
Macro F1: 0.5870079610791685
Micro F1: 0.7192982456140351
Weighted F1: 0.719743631524632
Macro Precision: 0.6779761904761905
Micro Precision: 0.7192982456140351
Weighted Precision: 0.8012949039264828
Macro Recall: 0.5941468253968254
Micro Recall: 0.7192982456140351
Weighted Recall: 0.7192982456140351

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/azizkh/autotrain-j-multi-classification-1181044057

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("azizkh/autotrain-j-multi-classification-1181044057", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("azizkh/autotrain-j-multi-classification-1181044057", use_auth_token=True)

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

outputs = model(**inputs)