Registry metadata and benchmark scores for local ML models.
Registry metadata and benchmark scores for local ML models.
| model_id | task | framework | version | f1_score | latency_ms |
|---|---|---|---|---|---|
| MDL-00001 | vision-detection | PyTorch | v1.8 | 0.781 | 296.4 |
| MDL-00002 | forecasting | PyTorch | v3.9 | 0.879 | 111.71 |
| MDL-00003 | forecasting | PyTorch | v3.2 | 0.755 | 220.53 |
| MDL-00004 | ner | PyTorch | v1.2 | 0.552 | 65.04 |
| MDL-00005 | ner | ONNX | v4.5 | 0.492 | 346.98 |
| MDL-00006 | ner | ONNX | v4.5 | 0.925 | 203.81 |
| MDL-00007 | classification | TensorFlow | v2.3 | 0.68 | 79.23 |
| MDL-00008 | ner | PyTorch | v4.5 | 0.566 | 123.54 |
| MDL-00009 | ner | TensorFlow | v3.7 | 0.465 | 144.21 |
| MDL-00010 | ner | ONNX | v3.2 | 0.785 | 240.47 |