Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 625317956
CO2 Emissions (in grams): 1.1406456838043837

Validation Metrics

Loss: 0.513037919998169
Accuracy: 0.8982035928143712
Macro F1: 0.7843756230226546
Micro F1: 0.8982035928143712
Weighted F1: 0.8891653474608059
Macro Precision: 0.8210878091622635
Micro Precision: 0.8982035928143712
Weighted Precision: 0.8888857327766032
Macro Recall: 0.7731018645485747
Micro Recall: 0.8982035928143712
Weighted Recall: 0.8982035928143712

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/Chijioke/autonlp-mono-625317956

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True)

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

outputs = model(**inputs)