Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 765323474
CO2 Emissions (in grams): 0.007501354635994803

Validation Metrics

Loss: 0.0447433702647686
Accuracy: 0.9823788546255506
Macro F1: 0.974405452470854
Micro F1: 0.9823788546255506
Weighted F1: 0.9823043153179869
Macro Precision: 0.978208375548801
Micro Precision: 0.9823788546255506
Weighted Precision: 0.9823204968555985
Macro Recall: 0.9707159078140736
Micro Recall: 0.9823788546255506
Weighted Recall: 0.9823788546255506

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/ktangri/autotrain-financial-sentiment-765323474

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ktangri/autotrain-financial-sentiment-765323474", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ktangri/autotrain-financial-sentiment-765323474", use_auth_token=True)

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

outputs = model(**inputs)