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20220713-h08m19s38_example_conll2003

Token Classification
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distilbert
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  2. runs.json +0 -0
  3. tensorboard/1657700383.6577654/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.1 +3 -0
  4. tensorboard/1657700383.6590903/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.2 +3 -0
  5. tensorboard/1657700383.6603022/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.3 +3 -0
  6. tensorboard/1657700383.6618648/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.4 +3 -0
  7. tensorboard/1657700383.6629946/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.5 +3 -0
  8. tensorboard/1657700383.66408/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.6 +3 -0
  9. tensorboard/1657700383.6652703/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.7 +3 -0
  10. tensorboard/1657700383.6664448/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.8 +3 -0
  11. tensorboard/events.out.tfevents.1657700383.ip-10-2-195-98.ec2.internal.1.0 +3 -0
README.md ADDED
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+ ---
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+ pipeline_tag: token-classification
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+ datasets:
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+ - conll2003
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ tags:
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+ - distilbert
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+ ---
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+
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+ **task**: `token-classification`
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+ **Backend:** `sagemaker-training`
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+ **Backend args:** `{'instance_type': 'ml.g4dn.2xlarge', 'supported_instructions': None}`
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+ **Number of evaluation samples:** `All dataset`
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+
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+ Fixed parameters:
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+ * **model_name_or_path**: `elastic/distilbert-base-uncased-finetuned-conll03-english`
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+ * **dataset**:
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+ * **path**: `conll2003`
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+ * **eval_split**: `validation`
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+ * **data_keys**: `{'primary': 'tokens'}`
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+ * **ref_keys**: `['ner_tags']`
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+ * **calibration_split**: `train`
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+ * **per_channel**: `False`
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+ * **calibration**:
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+ * **method**: `minmax`
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+ * **num_calibration_samples**: `100`
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+ * **framework**: `onnxruntime`
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+ * **framework_args**:
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+ * **opset**: `11`
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+ * **optimization_level**: `1`
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+ * **aware_training**: `False`
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+
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+ Benchmarked parameters:
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+ * **quantization_approach**: `dynamic`, `static`
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+ * **operators_to_quantize**: `['Add']`, `['Add', 'MatMul']`
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+ * **node_exclusion**: `[]`, `['layernorm', 'gelu', 'residual', 'gather', 'softmax']`
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+
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+ # Evaluation
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+ ## Non-time metrics
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+ | quantization_approach | operators_to_quantize | node_exclusion | | precision (original) | precision (optimized) | | recall (original) | recall (optimized) | | f1 (original) | f1 (optimized) | | accuracy (original) | accuracy (optimized) |
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+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :------------------: | :-------------------: | :-: | :---------------: | :----------------: | :-: | :-----------: | :------------: | :-: | :-----------------: | :------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 0.936 | 0.934 | \| | 0.944 | 0.942 | \| | 0.940 | 0.938 | \| | 0.988 | 0.988 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 0.936 | 0.934 | \| | 0.944 | 0.942 | \| | 0.940 | 0.938 | \| | 0.988 | 0.988 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 0.936 | 0.936 | \| | 0.944 | 0.944 | \| | 0.940 | 0.940 | \| | 0.988 | 0.988 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 0.936 | 0.936 | \| | 0.944 | 0.944 | \| | 0.940 | 0.940 | \| | 0.988 | 0.988 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 0.936 | 0.904 | \| | 0.944 | 0.921 | \| | 0.940 | 0.912 | \| | 0.988 | 0.984 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 0.936 | 0.065 | \| | 0.944 | 0.243 | \| | 0.940 | 0.103 | \| | 0.988 | 0.357 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 0.936 | 0.909 | \| | 0.944 | 0.930 | \| | 0.940 | 0.919 | \| | 0.988 | 0.986 |
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+ | `static` | `['Add']` | `[]` | \| | 0.936 | 0.050 | \| | 0.944 | 0.160 | \| | 0.940 | 0.076 | \| | 0.988 | 0.311 |
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+
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+ ## Time metrics
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+ Time benchmarks were run for 15 seconds per config.
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+
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+
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+ Below, time metrics for batch size = 1, input length = 32.
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+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
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+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 32.90 | 7.03 | \| | 30.40 | 142.20 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 48.27 | 7.68 | \| | 20.73 | 130.33 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 33.74 | 14.73 | \| | 29.67 | 67.93 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 33.49 | 14.17 | \| | 29.87 | 70.60 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 47.72 | 8.20 | \| | 21.00 | 121.93 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 47.87 | 10.58 | \| | 20.93 | 94.60 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 45.77 | 19.00 | \| | 21.87 | 52.67 |
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+ | `static` | `['Add']` | `[]` | \| | 44.67 | 18.77 | \| | 22.40 | 53.33 |
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+
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+
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+ Below, time metrics for batch size = 1, input length = 64.
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+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
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+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 59.15 | 13.60 | \| | 16.93 | 73.53 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 44.01 | 12.60 | \| | 22.73 | 79.40 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 60.50 | 29.87 | \| | 16.53 | 33.53 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 45.35 | 24.10 | \| | 22.07 | 41.53 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 59.98 | 16.08 | \| | 16.73 | 62.20 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 43.23 | 19.02 | \| | 23.20 | 52.60 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 43.15 | 32.96 | \| | 23.20 | 30.40 |
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+ | `static` | `['Add']` | `[]` | \| | 44.01 | 31.68 | \| | 22.80 | 31.60 |
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+
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+
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+ Below, time metrics for batch size = 1, input length = 128.
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+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
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+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 55.20 | 25.72 | \| | 18.13 | 38.93 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 73.52 | 26.70 | \| | 13.67 | 37.47 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 71.60 | 53.26 | \| | 14.00 | 18.80 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 70.39 | 56.68 | \| | 14.27 | 17.67 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 71.34 | 31.75 | \| | 14.07 | 31.53 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 73.55 | 37.95 | \| | 13.60 | 26.40 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 70.28 | 62.70 | \| | 14.27 | 16.00 |
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+ | `static` | `['Add']` | `[]` | \| | 63.86 | 61.64 | \| | 15.67 | 16.27 |
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+
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+
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+ Below, time metrics for batch size = 4, input length = 32.
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+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
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+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 70.41 | 22.67 | \| | 14.27 | 44.13 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 71.65 | 21.44 | \| | 14.00 | 46.67 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 71.72 | 55.16 | \| | 14.00 | 18.13 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 55.56 | 43.87 | \| | 18.00 | 22.80 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 55.45 | 27.83 | \| | 18.07 | 36.00 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 66.57 | 34.45 | \| | 15.07 | 29.07 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 55.23 | 59.31 | \| | 18.13 | 16.87 |
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+ | `static` | `['Add']` | `[]` | \| | 58.80 | 66.03 | \| | 17.07 | 15.20 |
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+
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+
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+ Below, time metrics for batch size = 4, input length = 64.
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+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
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+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 117.71 | 43.93 | \| | 8.53 | 22.80 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 90.01 | 43.27 | \| | 11.13 | 23.13 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 94.34 | 107.02 | \| | 10.60 | 9.40 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 119.11 | 82.46 | \| | 8.40 | 12.13 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 120.57 | 54.70 | \| | 8.33 | 18.33 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 120.00 | 57.85 | \| | 8.40 | 17.33 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 119.57 | 92.50 | \| | 8.40 | 10.87 |
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+ | `static` | `['Add']` | `[]` | \| | 117.35 | 102.09 | \| | 8.53 | 9.80 |
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+
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+
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+ Below, time metrics for batch size = 4, input length = 128.
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+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
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+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 220.69 | 94.33 | \| | 4.53 | 10.67 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 170.04 | 81.68 | \| | 5.93 | 12.27 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 188.59 | 171.79 | \| | 5.33 | 5.87 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 219.80 | 163.62 | \| | 4.60 | 6.13 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 220.25 | 94.05 | \| | 4.60 | 10.67 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 222.90 | 135.06 | \| | 4.53 | 7.47 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 177.41 | 211.89 | \| | 5.67 | 4.73 |
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+ | `static` | `['Add']` | `[]` | \| | 168.30 | 201.88 | \| | 6.00 | 5.00 |
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+
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+
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+ Below, time metrics for batch size = 8, input length = 32.
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+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
146
+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 106.46 | 42.35 | \| | 9.47 | 23.67 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 88.68 | 43.33 | \| | 11.33 | 23.13 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 91.32 | 92.08 | \| | 11.00 | 10.87 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 88.33 | 94.18 | \| | 11.33 | 10.67 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 107.47 | 44.74 | \| | 9.33 | 22.40 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 118.39 | 64.56 | \| | 8.47 | 15.53 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 87.05 | 111.36 | \| | 11.53 | 9.00 |
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+ | `static` | `['Add']` | `[]` | \| | 116.96 | 98.82 | \| | 8.60 | 10.13 |
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+
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+
157
+ Below, time metrics for batch size = 8, input length = 64.
158
+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
160
+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 165.67 | 87.71 | \| | 6.07 | 11.47 |
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+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 214.59 | 87.88 | \| | 4.67 | 11.40 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 216.06 | 163.75 | \| | 4.67 | 6.13 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 176.69 | 209.28 | \| | 5.67 | 4.80 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 215.12 | 86.90 | \| | 4.67 | 11.53 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 215.99 | 130.39 | \| | 4.67 | 7.73 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 213.87 | 224.50 | \| | 4.73 | 4.47 |
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+ | `static` | `['Add']` | `[]` | \| | 211.16 | 193.01 | \| | 4.80 | 5.20 |
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+
170
+
171
+ Below, time metrics for batch size = 8, input length = 128.
172
+
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+ | quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
174
+ | :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
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+ | `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 391.16 | 183.35 | \| | 2.60 | 5.47 |
176
+ | `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 414.42 | 154.52 | \| | 2.47 | 6.53 |
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+ | `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 314.12 | 323.94 | \| | 3.20 | 3.13 |
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+ | `dynamic` | `['Add']` | `[]` | \| | 408.15 | 325.03 | \| | 2.47 | 3.13 |
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+ | `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 337.57 | 205.59 | \| | 3.00 | 4.87 |
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+ | `static` | `['Add', 'MatMul']` | `[]` | \| | 375.10 | 225.09 | \| | 2.67 | 4.47 |
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+ | `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 409.68 | 493.00 | \| | 2.47 | 2.07 |
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+ | `static` | `['Add']` | `[]` | \| | 397.28 | 397.74 | \| | 2.53 | 2.53 |
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+
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