twitter-roberta-base-anger-intensity

twitter-roberta-base-anger-intensity

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-2022-154m on the SemEval 2018 - Task 1 Affect in Tweets (subtask: El-reg / text regression).

Warning: Hosted inference API produces inaccurate values

Model Trained Using AutoTrain

• Problem type: Single Column Regression
• Model ID: 72775139028
• CO2 Emissions (in grams): 0.0301

Validation Metrics

• Loss: 0.011
• MSE: 0.011
• MAE: 0.085
• R2: 0.641
• RMSE: 0.103
• Explained Variance: 0.641

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 am furious"}' https://api-inference.huggingface.co/models/garrettbaber/twitter-roberta-base-anger-intensity

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/twitter-roberta-base-anger-intensity")

tokenizer = AutoTokenizer.from_pretrained("garrettbaber/twitter-roberta-base-anger-intensity")

inputs = tokenizer("I am furious", return_tensors="pt")

outputs = model(**inputs)