|
--- |
|
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 | |
|
|
|
|
