Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 622117836
CO2 Emissions (in grams): 2.22514962526191

Validation Metrics

Loss: 1.2368708848953247
Accuracy: 0.7973333333333333
Macro F1: 0.46009076588978487
Micro F1: 0.7973333333333333
Weighted F1: 0.7712349116681224
Macro Precision: 0.4527155928883903
Micro Precision: 0.7973333333333333
Weighted Precision: 0.7610710955220162
Macro Recall: 0.4947868561369568
Micro Recall: 0.7973333333333333
Weighted Recall: 0.7973333333333333

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/kyleinincubated/autonlp-abbb-622117836

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("kyleinincubated/autonlp-abbb-622117836", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-abbb-622117836", use_auth_token=True)

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

outputs = model(**inputs)