20220711-h10m00s56_example_conll2003

fxmarty/20220711-h10m00s56_example_conll2003

20220711-h10m00s56_example_conll2003 is a token classification model from fxmarty. Use it when you need labels on individual words, such as names.

task: token-classification Backend: sagemaker-training Backend args: {'instancetype': 'ml.m5.2xlarge', 'supportedinstructions': 'avx512'} Number of evaluation samples: 100

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Updated Jul 11, 2022

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At a glance

Task: Token Classification
Access: Public
Created: Jul 11, 2022
Updated: Jul 11, 2022
SHA: 7e0720e3

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Datasets

conll2003

Model card

From the Hugging Face model README

task: token-classification
Backend: sagemaker-training
Backend args: {'instance_type': 'ml.m5.2xlarge', 'supported_instructions': 'avx512'}
Number of evaluation samples: 100

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']`	\|	0.974	0.974	\|	0.955	0.949	\|	0.964	0.962	\|	0.990	0.989
`dynamic`	`['Add']`	\|	0.974	0.974	\|	0.955	0.955	\|	0.964	0.964	\|	0.990	0.990
`static`	`['Add', 'MatMul']`	\|	0.974	0.081	\|	0.955	0.222	\|	0.964	0.118	\|	0.990	0.467
`static`	`['Add']`	\|	0.974	0.073	\|	0.955	0.182	\|	0.964	0.105	\|	0.990	0.290

Time metrics

Time benchmarks were run for 3 seconds per config.

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']`	\|	59.35	21.91	\|	17.00	45.67
`dynamic`	`['Add']`	\|	59.18	29.24	\|	17.00	34.33
`static`	`['Add', 'MatMul']`	\|	59.25	28.31	\|	17.00	35.33
`static`	`['Add']`	\|	58.77	31.80	\|	17.33	31.67

Task: Token Classification
Created: Jul 11, 2022
Updated: Jul 11, 2022