Update eval_squad to use API of latest optimum #17918
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wangyems
approved these changes
Oct 13, 2023
jchen351
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Oct 18, 2023
Update eval_squad with latest optimum.
Tested with:
* optimum 1.13.1
* transformers 4.31.0
* onnxruntime-gpu 1.16.0
* onnx 1.14.1
* datasets 2.14.5
* evaluate 0.4.0
* torch version 2.2.0.dev20230920+cu121
Example output in A100:
{'exact': 86.66035950804162, 'f1': 92.99622739711005, 'total': 10570,
'HasAns_exact': 86.66035950804162, 'HasAns_f1': 92.99622739711005,
'HasAns_total': 10570, 'best_exact': 86.66035950804162,
'best_exact_thresh': 0.9998456239700317, 'best_f1': 92.9962273971104,
'best_f1_thresh': 0.9998456239700317, 'total_time_in_seconds':
84.74025378189981, 'samples_per_second': 124.73410838731417,
'latency_in_seconds': 0.008017053337928081, 'provider':
'CUDAExecutionProvider', 'disable_fused_attention': False,
'pretrained_model_name':
'bert-large-uncased-whole-word-masking-finetuned-squad', 'onnx_path':
'./bert-large-uncased-whole-word-masking-finetuned-squad/optimized_model.onnx',
'batch_size': 1, 'sequence_length': 384, 'use_io_binding': True}
TedThemistokleous
pushed a commit
to ROCm/onnxruntime
that referenced
this pull request
Nov 27, 2023
Update eval_squad with latest optimum.
Tested with:
* optimum 1.13.1
* transformers 4.31.0
* onnxruntime-gpu 1.16.0
* onnx 1.14.1
* datasets 2.14.5
* evaluate 0.4.0
* torch version 2.2.0.dev20230920+cu121
Example output in A100:
{'exact': 86.66035950804162, 'f1': 92.99622739711005, 'total': 10570,
'HasAns_exact': 86.66035950804162, 'HasAns_f1': 92.99622739711005,
'HasAns_total': 10570, 'best_exact': 86.66035950804162,
'best_exact_thresh': 0.9998456239700317, 'best_f1': 92.9962273971104,
'best_f1_thresh': 0.9998456239700317, 'total_time_in_seconds':
84.74025378189981, 'samples_per_second': 124.73410838731417,
'latency_in_seconds': 0.008017053337928081, 'provider':
'CUDAExecutionProvider', 'disable_fused_attention': False,
'pretrained_model_name':
'bert-large-uncased-whole-word-masking-finetuned-squad', 'onnx_path':
'./bert-large-uncased-whole-word-masking-finetuned-squad/optimized_model.onnx',
'batch_size': 1, 'sequence_length': 384, 'use_io_binding': True}
TedThemistokleous
added a commit
to ROCm/onnxruntime
that referenced
this pull request
Nov 27, 2023
…ript Update eval_squad to use API of latest optimum (microsoft#17918)
kleiti
pushed a commit
to kleiti/onnxruntime
that referenced
this pull request
Mar 22, 2024
Update eval_squad with latest optimum.
Tested with:
* optimum 1.13.1
* transformers 4.31.0
* onnxruntime-gpu 1.16.0
* onnx 1.14.1
* datasets 2.14.5
* evaluate 0.4.0
* torch version 2.2.0.dev20230920+cu121
Example output in A100:
{'exact': 86.66035950804162, 'f1': 92.99622739711005, 'total': 10570,
'HasAns_exact': 86.66035950804162, 'HasAns_f1': 92.99622739711005,
'HasAns_total': 10570, 'best_exact': 86.66035950804162,
'best_exact_thresh': 0.9998456239700317, 'best_f1': 92.9962273971104,
'best_f1_thresh': 0.9998456239700317, 'total_time_in_seconds':
84.74025378189981, 'samples_per_second': 124.73410838731417,
'latency_in_seconds': 0.008017053337928081, 'provider':
'CUDAExecutionProvider', 'disable_fused_attention': False,
'pretrained_model_name':
'bert-large-uncased-whole-word-masking-finetuned-squad', 'onnx_path':
'./bert-large-uncased-whole-word-masking-finetuned-squad/optimized_model.onnx',
'batch_size': 1, 'sequence_length': 384, 'use_io_binding': True}
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Description
Update eval_squad with latest optimum.
Tested with:
Example output in A100:
{'exact': 86.66035950804162, 'f1': 92.99622739711005, 'total': 10570, 'HasAns_exact': 86.66035950804162, 'HasAns_f1': 92.99622739711005, 'HasAns_total': 10570, 'best_exact': 86.66035950804162, 'best_exact_thresh': 0.9998456239700317, 'best_f1': 92.9962273971104, 'best_f1_thresh': 0.9998456239700317, 'total_time_in_seconds': 84.74025378189981, 'samples_per_second': 124.73410838731417, 'latency_in_seconds': 0.008017053337928081, 'provider': 'CUDAExecutionProvider', 'disable_fused_attention': False, 'pretrained_model_name': 'bert-large-uncased-whole-word-masking-finetuned-squad', 'onnx_path': './bert-large-uncased-whole-word-masking-finetuned-squad/optimized_model.onnx', 'batch_size': 1, 'sequence_length': 384, 'use_io_binding': True}
Motivation and Context