| --- |
| tags: autotrain |
| language: en |
| widget: |
| - text: "I love AutoTrain 🤗" |
| - Output: "Positive" |
| datasets: |
| - Souvikcmsa/autotrain-data-sentiment_analysis |
| co2_eq_emissions: 0.029363397844935534 |
| --- |
| |
| # Model Trained Using AutoTrain |
|
|
| - Problem type: Multi-class Classification (3-class Sentiment Classification) |
|
|
| ## Validation Metrics |
| If you search sentiment analysis model in huggingface you find a model from finiteautomata. Their model provides micro and macro F1 score around 67%. Check out this model with around 80% of macro and micro F1 score. |
| - Loss: 0.4992932379245758 |
| - Accuracy: 0.799017824663514 |
| - Macro F1: 0.8021508522962549 |
| - Micro F1: 0.799017824663514 |
| - Weighted F1: 0.7993775463659935 |
| - Macro Precision: 0.80406197665167 |
| - Micro Precision: 0.799017824663514 |
| - Weighted Precision: 0.8000374433849405 |
| - Macro Recall: 0.8005261994732908 |
| - Micro Recall: 0.799017824663514 |
| - Weighted Recall: 0.799017824663514 |
|
|
|
|
| ## 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/Souvikcmsa/autotrain-sentiment_analysis-762923428 |
| ``` |
|
|
| Or Python API: |
|
|
| ``` |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| |
| model = AutoModelForSequenceClassification.from_pretrained("Souvikcmsa/autotrain-sentiment_analysis-762923428", use_auth_token=True) |
| |
| tokenizer = AutoTokenizer.from_pretrained("Souvikcmsa/autotrain-sentiment_analysis-762923428", use_auth_token=True) |
| |
| inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
| |
| outputs = model(**inputs) |
| ``` |
| OR |
| ``` |
| from transformers import pipeline |
| |
| classifier = pipeline("text-classification", model = "Souvikcmsa/BERT_sentiment_analysis") |
| classifier("I loved Star Wars so much!")# Positive |
| classifier("A soccer game with multiple males playing. Some men are playing a sport.")# Neutral |
| ``` |
