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fxmarty/
20220713-h13m33s02_example_conll2003

Name: 20220713-h13m33s02_example_conll2003
Availability: InStock

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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

fxmarty/20220713-h13m33s02_example_conll2003

Evaluation

Non-time metrics

Time metrics

fxmarty/
20220713-h13m33s02_example_conll2003