Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 529214890
CO2 Emissions (in grams): 49.618294309910624

Validation Metrics

Loss: 0.7135734558105469
Accuracy: 0.7042338838232481
Macro F1: 0.6164041045783032
Micro F1: 0.7042338838232481
Weighted F1: 0.7028309161791009
Macro Precision: 0.6497438111060598
Micro Precision: 0.7042338838232481
Weighted Precision: 0.7076651075198755
Macro Recall: 0.6023419083862918
Micro Recall: 0.7042338838232481
Weighted Recall: 0.7042338838232481

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/lucianpopa/autonlp-SST1-529214890

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("lucianpopa/autonlp-SST1-529214890", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lucianpopa/autonlp-SST1-529214890", use_auth_token=True)

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

outputs = model(**inputs)