Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 29797730
CO2 Emissions (in grams): 2.2439127664461718

Validation Metrics

Loss: 0.6314184069633484
Accuracy: 0.7596774193548387
Macro F1: 0.4740565300039588
Micro F1: 0.7596774193548386
Weighted F1: 0.7371623804622154
Macro Precision: 0.6747804619412134
Micro Precision: 0.7596774193548387
Weighted Precision: 0.7496542175358931
Macro Recall: 0.47743727441146655
Micro Recall: 0.7596774193548387
Weighted Recall: 0.7596774193548387

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/ds198799/autonlp-predict_ROI_1-29797730

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ds198799/autonlp-predict_ROI_1-29797730", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ds198799/autonlp-predict_ROI_1-29797730", use_auth_token=True)

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

outputs = model(**inputs)