readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - adrianmoses/autonlp-data-auto-nlp-lyrics-classification
  co2_eq_emissions: 88.89388195672073
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Multi-class Classification
  - Model ID: 19333717
  - CO2 Emissions (in grams): 88.89388195672073
  
  ## Validation Metrics
  
  - Loss: 1.0499154329299927
  - Accuracy: 0.6207088513638894
  - Macro F1: 0.46250803661544765
  - Micro F1: 0.6207088513638894
  - Weighted F1: 0.5850362079928957
  - Macro Precision: 0.6451479987704787
  - Micro Precision: 0.6207088513638894
  - Weighted Precision: 0.6285080101186085
  - Macro Recall: 0.4405680478429344
  - Micro Recall: 0.6207088513638894
  - Weighted Recall: 0.6207088513638894
  
  
  ## 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/adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```