readme: ---
  pipeline_tag: token-classification
  datasets:
  - conll2003
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  tags:
  - distilbert
  ---
  
  **task**: `token-classification`  
  **Backend:** `sagemaker-training`  
  **Backend args:** `{'instance_type': 'ml.g4dn.2xlarge', 'supported_instructions': None}`  
  **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`
  * **quantization_approach**: `static`
  * **operators_to_quantize**: `['Add', 'MatMul']`
  * **per_channel**: `False`
  * **calibration**:
      * **method**: `minmax`
      * **num_calibration_samples**: `100`
  * **framework**: `onnxruntime`
  * **framework_args**:
      * **opset**: `11`
      * **optimization_level**: `1`
  * **aware_training**: `False`
  
  Benchmarked parameters:
  * **node_exclusion**: `[]`,  `['layernorm', 'gelu', 'residual', 'gather', 'softmax']`
  
  # Evaluation
  ## Non-time metrics
  |                      node_exclusion                      |     | precision (original) | precision (optimized) |     | recall (original) | recall (optimized) |     | f1 (original) | f1 (optimized) |     | accuracy (original) | accuracy (optimized) |
  | :------------------------------------------------------: | :-: | :------------------: | :-------------------: | :-: | :---------------: | :----------------: | :-: | :-----------: | :------------: | :-: | :-----------------: | :------------------: |
  | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` |  \|  |        0.936         |         0.904         |  \|  |       0.944       |       0.921        |  \|  |     0.940     |     0.912      |  \|  |        0.988        |        0.984         |
  |                           `[]`                           |  \|  |        0.936         |         0.065         |  \|  |       0.944       |       0.243        |  \|  |     0.940     |     0.103      |  \|  |        0.988        |        0.357         |
  
  ## Time metrics
  Time benchmarks were run for 15 seconds per config.
  
  
  Below, time metrics for batch size = 4, input length = 64.
  
  |                      node_exclusion                      |     | latency_mean (original, ms) | latency_mean (optimized, ms) |     | throughput (original, /s) | throughput (optimized, /s) |
  | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
  | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` |  \|  |           103.46            |            53.77             |  \|  |           9.67            |           18.60            |
  |                           `[]`                           |  \|  |            90.62            |            65.86             |  \|  |           11.07           |           15.20            |
  
  