BERT-Banking77 Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 940131041
• CO2 Emissions (in grams): 0.03330651014155927

Validation Metrics

• Loss: 0.3505457043647766
• Accuracy: 0.9263261296660118
• Macro F1: 0.9268371013605569
• Micro F1: 0.9263261296660118
• Weighted F1: 0.9259954221865809
• Macro Precision: 0.9305746406646502
• Micro Precision: 0.9263261296660118
• Weighted Precision: 0.929031563971418
• Macro Recall: 0.9263724620088746
• Micro Recall: 0.9263261296660118
• Weighted Recall: 0.9263261296660118

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 AutoTrain"}' https://api-inference.huggingface.co/models/philschmid/autotrain-does-it-work-940131041

Or Python API:

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
model_id = 'philschmid/BERT-Banking77'
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)
classifier = pipeline('text-classification', tokenizer=tokenizer, model=model)
classifier('What is the base of the exchange rates?')