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--- |
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pipeline_tag: token-classification |
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datasets: |
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- conll2003 |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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tags: |
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- distilbert |
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--- |
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**task**: `token-classification` |
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**Backend:** `sagemaker-training` |
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**Backend args:** `{'instance_type': 'ml.g4dn.2xlarge', 'supported_instructions': 'avx512_vnni'}` |
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**Number of evaluation samples:** `1000` |
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Fixed parameters: |
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* **model_name_or_path**: `elastic/distilbert-base-uncased-finetuned-conll03-english` |
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* **dataset**: |
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* **path**: `conll2003` |
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* **eval_split**: `validation` |
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* **data_keys**: `{'primary': 'tokens'}` |
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* **ref_keys**: `['ner_tags']` |
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* **calibration_split**: `train` |
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* **node_exclusion**: `[]` |
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* **per_channel**: `False` |
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* **calibration**: |
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* **method**: `minmax` |
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* **num_calibration_samples**: `100` |
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* **framework**: `onnxruntime` |
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* **framework_args**: |
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* **opset**: `11` |
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* **optimization_level**: `1` |
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* **aware_training**: `False` |
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Benchmarked parameters: |
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* **quantization_approach**: `dynamic`, `static` |
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* **operators_to_quantize**: `['Add', 'MatMul']`, `['Add']` |
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# Evaluation |
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## Non-time metrics |
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| quantization_approach | operators_to_quantize | | precision (original) | precision (optimized) | | recall (original) | recall (optimized) | | f1 (original) | f1 (optimized) | | accuracy (original) | accuracy (optimized) | |
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| :-------------------: | :-------------------: | :-: | :------------------: | :-------------------: | :-: | :---------------: | :----------------: | :-: | :-----------: | :------------: | :-: | :-----------------: | :------------------: | |
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| `dynamic` | `['Add', 'MatMul']` | \| | 0.937 | 0.937 | \| | 0.953 | 0.953 | \| | 0.945 | 0.945 | \| | 0.988 | 0.988 | |
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| `dynamic` | `['Add']` | \| | 0.937 | 0.937 | \| | 0.953 | 0.953 | \| | 0.945 | 0.945 | \| | 0.988 | 0.988 | |
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| `static` | `['Add', 'MatMul']` | \| | 0.937 | 0.074 | \| | 0.953 | 0.253 | \| | 0.945 | 0.114 | \| | 0.988 | 0.363 | |
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| `static` | `['Add']` | \| | 0.937 | 0.065 | \| | 0.953 | 0.186 | \| | 0.945 | 0.096 | \| | 0.988 | 0.340 | |
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## Time metrics |
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Time benchmarks were run for 3 seconds per config. |
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Below, time metrics for batch size = 1, input length = 64. |
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| quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | |
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| :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | |
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| `dynamic` | `['Add', 'MatMul']` | \| | 57.64 | 12.30 | \| | 17.67 | 81.33 | |
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| `dynamic` | `['Add']` | \| | 43.51 | 29.42 | \| | 23.00 | 34.00 | |
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| `static` | `['Add', 'MatMul']` | \| | 43.05 | 21.11 | \| | 23.33 | 47.67 | |
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| `static` | `['Add']` | \| | 43.50 | 37.93 | \| | 23.00 | 26.67 | |
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Below, time metrics for batch size = 4, input length = 64. |
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| quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | |
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| :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | |
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| `dynamic` | `['Add', 'MatMul']` | \| | 119.50 | 39.92 | \| | 8.67 | 25.33 | |
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| `dynamic` | `['Add']` | \| | 119.62 | 107.42 | \| | 8.67 | 9.33 | |
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| `static` | `['Add', 'MatMul']` | \| | 120.23 | 56.94 | \| | 8.33 | 17.67 | |
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| `static` | `['Add']` | \| | 119.10 | 130.78 | \| | 8.67 | 7.67 | |
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Below, time metrics for batch size = 8, input length = 64. |
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| quantization_approach | operators_to_quantize | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) | |
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| :-------------------: | :-------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: | |
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| `dynamic` | `['Add', 'MatMul']` | \| | 165.84 | 75.45 | \| | 6.33 | 13.33 | |
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| `dynamic` | `['Add']` | \| | 214.65 | 211.41 | \| | 4.67 | 5.00 | |
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| `static` | `['Add', 'MatMul']` | \| | 166.53 | 129.00 | \| | 6.33 | 8.00 | |
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| `static` | `['Add']` | \| | 214.81 | 256.95 | \| | 4.67 | 4.00 | |
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