Text Classification on TinyNLP
85.69IMDb AccuracyBERT-Tiny(20MB)
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| BERT-Tiny(20MB)Model Size=20MB2025.02 | 85.69 | 91.93 | 83.38 | 72.4 | 88.86 | 88.53 | 98.16 | 86.99 | |
| EmbBERTModel Size=2MB2025.02 | 84.1 | 90.46 | 83.97 | 76.36 | 89.58 | 88.16 | 97.67 | 87.19 | |
| Embedder + convModel Size=2MB2025.02 | 84.08 | 91.5 | 83.1 | 70.32 | 89.45 | 89.33 | 97.75 | 86.5 | |
| NanoBERT(2MB)Model Size=2MB2025.02 | 83.32 | 90.64 | 84.06 | 74.72 | 87.2 | 86.5 | 97.9 | 86.33 | |
| EmbedderModel Size=2MB2025.02 | 82.6 | 91.1 | 82.78 | 71.6 | 89.4 | 89.5 | 97.93 | 86.41 | |
| MAMBA(2MB)Model Size=2MB2025.02 | 81.86 | 89.4 | 81.38 | 74.72 | 45.72 | 70.1 | 96.4 | 77.08 | |
| BERT(2MB)Model Size=2MB2025.02 | 79.38 | 89 | 83.9 | 74.72 | 77.34 | 86.14 | 97 | 83.93 |