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Model tree for openobscure/tinybert4l-pii-ner-int8
Base model
huawei-noah/TinyBERT_General_4L_312DDatasets used to train openobscure/tinybert4l-pii-ner-int8
Evaluation results
- F1 on openobscure-pii-evalOpenObscure NER Benchmark (760 samples, INT8 ONNX, Apple M-series)0.856
- Recall on openobscure-pii-evalOpenObscure NER Benchmark (760 samples, INT8 ONNX, Apple M-series)0.970
- Precision on openobscure-pii-evalOpenObscure NER Benchmark (760 samples, INT8 ONNX, Apple M-series)0.950
- Inference Latency p50 (ms) on openobscure-pii-evalOpenObscure NER Benchmark (760 samples, INT8 ONNX, Apple M-series)0.750
- Inference Latency p95 (ms) on openobscure-pii-evalOpenObscure NER Benchmark (760 samples, INT8 ONNX, Apple M-series)0.950