--- pipeline_tag: token-classification datasets: - conll2003 metrics: - precision - recall - f1 - accuracy tags: - distilbert --- **task**: `token-classification` **Backend:** `sagemaker-training` **Backend args:** `{'instance_type': 'ml.m5.2xlarge', 'supported_instructions': 'avx512'}` **Number of evaluation samples:** `All dataset` Fixed parameters: * **model_name_or_path**: `elastic/distilbert-base-uncased-finetuned-conll03-english` * **dataset**: * **path**: `conll2003` * **eval_split**: `validation` * **data_keys**: `{'primary': 'tokens'}` * **ref_keys**: `['ner_tags']` * **calibration_split**: `train` * **node_exclusion**: `[]` * **per_channel**: `False` * **calibration**: * **method**: `minmax` * **num_calibration_samples**: `100` * **framework**: `onnxruntime` * **framework_args**: * **opset**: `11` * **optimization_level**: `1` * **aware_training**: `False` Benchmarked parameters: * **quantization_approach**: `dynamic`, `static` * **operators_to_quantize**: `['Add', 'MatMul']`, `['Add']` # Evaluation ## Non-time metrics | quantization_approach | operators_to_quantize | | precision (original) | precision (optimized) | | recall (original) | recall (optimized) | | f1 (original) | f1 (optimized) | | accuracy (original) | accuracy (optimized) | | :-------------------: | :-------------------: | :-: | :------------------: | :-------------------: | :-: | :---------------: | :----------------: | :-: | :-----------: | :------------: | :-: | :-----------------: | :------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 0.936 | 0.935 | \| | 0.944 | 0.943 | \| | 0.940 | 0.939 | \| | 0.988 | 0.988 | | `dynamic` | `['Add']` | \| | 0.936 | 0.936 | \| | 0.944 | 0.944 | \| | 0.940 | 0.940 | \| | 0.988 | 0.988 | | `static` | `['Add', 'MatMul']` | \| | 0.936 | 0.063 | \| | 0.944 | 0.246 | \| | 0.940 | 0.100 | \| | 0.988 | 0.343 | | `static` | `['Add']` | \| | 0.936 | 0.050 | \| | 0.944 | 0.160 | \| | 0.940 | 0.076 | \| | 0.988 | 0.311 | ## Time metrics Time benchmarks were run for 15 seconds per config. Below, time metrics for batch size = 1, input length = 32. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 46.38 | 9.96 | \| | 21.60 | 100.47 | | `dynamic` | `['Add']` | \| | 36.59 | 13.98 | \| | 27.33 | 71.60 | | `static` | `['Add', 'MatMul']` | \| | 33.84 | 14.46 | \| | 29.60 | 69.20 | | `static` | `['Add']` | \| | 33.23 | 20.11 | \| | 30.13 | 49.73 | Below, time metrics for batch size = 1, input length = 64. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 58.92 | 19.68 | \| | 17.00 | 50.87 | | `dynamic` | `['Add']` | \| | 58.59 | 24.81 | \| | 17.13 | 40.33 | | `static` | `['Add', 'MatMul']` | \| | 51.41 | 29.36 | \| | 19.47 | 34.07 | | `static` | `['Add']` | \| | 44.22 | 38.56 | \| | 22.67 | 25.93 | Below, time metrics for batch size = 1, input length = 128. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 72.38 | 36.47 | \| | 13.87 | 27.47 | | `dynamic` | `['Add']` | \| | 70.21 | 46.30 | \| | 14.27 | 21.60 | | `static` | `['Add', 'MatMul']` | \| | 70.76 | 48.24 | \| | 14.13 | 20.80 | | `static` | `['Add']` | \| | 72.47 | 71.10 | \| | 13.80 | 14.07 | Below, time metrics for batch size = 4, input length = 32. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 69.76 | 38.50 | \| | 14.40 | 26.00 | | `dynamic` | `['Add']` | \| | 56.02 | 51.32 | \| | 17.87 | 19.53 | | `static` | `['Add', 'MatMul']` | \| | 55.05 | 46.80 | \| | 18.20 | 21.40 | | `static` | `['Add']` | \| | 71.03 | 56.82 | \| | 14.13 | 17.67 | Below, time metrics for batch size = 4, input length = 64. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 119.91 | 61.51 | \| | 8.40 | 16.27 | | `dynamic` | `['Add']` | \| | 108.43 | 105.65 | \| | 9.27 | 9.47 | | `static` | `['Add', 'MatMul']` | \| | 119.89 | 86.76 | \| | 8.40 | 11.53 | | `static` | `['Add']` | \| | 96.99 | 102.03 | \| | 10.33 | 9.87 | Below, time metrics for batch size = 4, input length = 128. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 219.78 | 123.71 | \| | 4.60 | 8.13 | | `dynamic` | `['Add']` | \| | 220.13 | 187.21 | \| | 4.60 | 5.40 | | `static` | `['Add', 'MatMul']` | \| | 186.39 | 176.99 | \| | 5.40 | 5.67 | | `static` | `['Add']` | \| | 219.57 | 203.71 | \| | 4.60 | 4.93 | Below, time metrics for batch size = 8, input length = 32. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 118.32 | 59.22 | \| | 8.47 | 16.93 | | `dynamic` | `['Add']` | \| | 116.52 | 80.17 | \| | 8.60 | 12.53 | | `static` | `['Add', 'MatMul']` | \| | 116.59 | 83.55 | \| | 8.60 | 12.00 | | `static` | `['Add']` | \| | 115.81 | 126.53 | \| | 8.67 | 7.93 | Below, time metrics for batch size = 8, input length = 64. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 172.71 | 117.89 | \| | 5.80 | 8.53 | | `dynamic` | `['Add']` | \| | 166.05 | 156.99 | \| | 6.07 | 6.40 | | `static` | `['Add', 'MatMul']` | \| | 215.00 | 148.93 | \| | 4.67 | 6.73 | | `static` | `['Add']` | \| | 214.55 | 200.16 | \| | 4.67 | 5.00 | Below, time metrics for batch size = 8, input length = 128. | quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | | :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | | `dynamic` | `['Add', 'MatMul']` | \| | 403.69 | 307.36 | \| | 2.53 | 3.27 | | `dynamic` | `['Add']` | \| | 372.85 | 317.53 | \| | 2.73 | 3.20 | | `static` | `['Add', 'MatMul']` | \| | 352.18 | 320.85 | \| | 2.87 | 3.13 | | `static` | `['Add']` | \| | 403.55 | 410.17 | \| | 2.53 | 2.47 |