Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 10022181

Validation Metrics

Loss: 0.369505375623703
Accuracy: 0.8706206896551724
Macro F1: 0.5410226656476808
Micro F1: 0.8706206896551724
Weighted F1: 0.8515634683886795
Macro Precision: 0.5159711665622992
Micro Precision: 0.8706206896551724
Weighted Precision: 0.8346991124101657
Macro Recall: 0.5711653346601209
Micro Recall: 0.8706206896551724
Weighted Recall: 0.8706206896551724

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/bshlgrs/autonlp-old-data-trained-10022181

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bshlgrs/autonlp-old-data-trained-10022181", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bshlgrs/autonlp-old-data-trained-10022181", use_auth_token=True)

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

outputs = model(**inputs)