Fine-grained classification on Augmented balanced dataset (val)
60.27AccuracyBERT Large Uncased
Evaluation results
| Method | Links | |
|---|---|---|
| BERT Large Uncased2026.02 | 60.27 | |
| BERT Base Uncased2026.02 | 57.53 | |
| Support Vector Machines (SVM)2026.02 | 56.1 | |
| Logistic Regression2026.02 | 56.1 | |
| Perceptron2026.02 | 53.66 | |
| Naive Bayes2026.02 | 52.03 | |
| Multi-Layer Perceptron2026.02 | 51.22 | |
| RoBERTa Base2026.02 | 49.45 | |
| Random Forest2026.02 | 47.15 | |
| k-Nearest Neighbors2026.02 | 47.15 | |
| Decision Trees2026.02 | 40.65 |