readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - Crasher222/autonlp-data-kaggle-test
  co2_eq_emissions: 60.744727079482495
  ---
  
  # Model Finetuned from BERT-base for
  
  - Problem type: Multi-class Classification
  - Model ID: 25805800
  
  ## Validation Metrics
  
  - Loss: 0.4422711133956909
  - Accuracy: 0.8615328555811976
  - Macro F1: 0.8642434650461513
  - Micro F1: 0.8615328555811976
  - Weighted F1: 0.8617743626671308
  - Macro Precision: 0.8649112225076049
  - Micro Precision: 0.8615328555811976
  - Weighted Precision: 0.8625407179375096
  - Macro Recall: 0.8640777539828228
  - Micro Recall: 0.8615328555811976
  - Weighted Recall: 0.8615328555811976
  
  
  ## Usage
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Crasher222/kaggle-comp-test")
  
  tokenizer = AutoTokenizer.from_pretrained("Crasher222/kaggle-comp-test")
  
  inputs = tokenizer("I am in love with you", return_tensors="pt")
  
  outputs = model(**inputs)
  ```