Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 17923124
CO2 Emissions (in grams): 133.57087522185148

Validation Metrics

Loss: 0.2080804407596588
Accuracy: 0.9325402190077058
Macro F1: 0.7283811287183823
Micro F1: 0.9325402190077058
Weighted F1: 0.9315711955594153
Macro Precision: 0.8106599661500661
Micro Precision: 0.9325402190077058
Weighted Precision: 0.9324644116921059
Macro Recall: 0.7020515544343829
Micro Recall: 0.9325402190077058
Weighted Recall: 0.9325402190077058

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-17923124

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("emekaboris/autonlp-txc-17923124", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("emekaboris/autonlp-txc-17923124", use_auth_token=True)

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

outputs = model(**inputs)