add experience
Browse files- README.md +181 -0
- runs.json +0 -0
- tensorboard/1657701962.2788515/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.1 +3 -0
- tensorboard/1657701962.2803338/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.2 +3 -0
- tensorboard/1657701962.281493/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.3 +3 -0
- tensorboard/1657701962.282597/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.4 +3 -0
- tensorboard/1657701962.2841494/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.5 +3 -0
- tensorboard/1657701962.2852757/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.6 +3 -0
- tensorboard/1657701962.2864373/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.7 +3 -0
- tensorboard/1657701962.2878876/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.8 +3 -0
- tensorboard/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.0 +3 -0
README.md
ADDED
@@ -0,0 +1,181 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
pipeline_tag: question-answering
|
3 |
+
datasets:
|
4 |
+
- squad
|
5 |
+
metrics:
|
6 |
+
- exact_match
|
7 |
+
- f1
|
8 |
+
tags:
|
9 |
+
- distilbert
|
10 |
+
---
|
11 |
+
|
12 |
+
**task**: `question-answering`
|
13 |
+
**Backend:** `sagemaker-training`
|
14 |
+
**Backend args:** `{'instance_type': 'ml.g4dn.2xlarge', 'supported_instructions': None}`
|
15 |
+
**Number of evaluation samples:** `1000`
|
16 |
+
|
17 |
+
Fixed parameters:
|
18 |
+
* **model_name_or_path**: `distilbert-base-uncased-distilled-squad`
|
19 |
+
* **dataset**:
|
20 |
+
* **path**: `squad`
|
21 |
+
* **eval_split**: `validation`
|
22 |
+
* **data_keys**: `{'question': 'question', 'context': 'context'}`
|
23 |
+
* **ref_keys**: `['answers']`
|
24 |
+
* **calibration_split**: `train`
|
25 |
+
* **per_channel**: `False`
|
26 |
+
* **calibration**:
|
27 |
+
* **method**: `minmax`
|
28 |
+
* **num_calibration_samples**: `100`
|
29 |
+
* **framework**: `onnxruntime`
|
30 |
+
* **framework_args**:
|
31 |
+
* **opset**: `11`
|
32 |
+
* **optimization_level**: `1`
|
33 |
+
* **aware_training**: `False`
|
34 |
+
|
35 |
+
Benchmarked parameters:
|
36 |
+
* **quantization_approach**: `dynamic`, `static`
|
37 |
+
* **operators_to_quantize**: `['Add']`, `['Add', 'MatMul']`
|
38 |
+
* **node_exclusion**: `[]`, `['layernorm', 'gelu', 'residual', 'gather', 'softmax']`
|
39 |
+
|
40 |
+
# Evaluation
|
41 |
+
## Non-time metrics
|
42 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | exact_match (original) | exact_match (optimized) | | f1 (original) | f1 (optimized) |
|
43 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :--------------------: | :---------------------: | :-: | :-----------: | :------------: |
|
44 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 82.300 | 80.600 | \| | 87.232 | 86.097 |
|
45 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 82.300 | 80.600 | \| | 87.232 | 86.097 |
|
46 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 82.300 | 82.300 | \| | 87.232 | 87.232 |
|
47 |
+
| `dynamic` | `['Add']` | `[]` | \| | 82.300 | 82.300 | \| | 87.232 | 87.232 |
|
48 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 82.300 | 72.900 | \| | 87.232 | 79.964 |
|
49 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 82.300 | 54.500 | \| | 87.232 | 64.292 |
|
50 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 82.300 | 76.900 | \| | 87.232 | 83.014 |
|
51 |
+
| `static` | `['Add']` | `[]` | \| | 82.300 | 59.800 | \| | 87.232 | 69.217 |
|
52 |
+
|
53 |
+
## Time metrics
|
54 |
+
Time benchmarks were run for 15 seconds per config.
|
55 |
+
|
56 |
+
|
57 |
+
Below, time metrics for batch size = 1, input length = 32.
|
58 |
+
|
59 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
60 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
61 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 47.87 | 7.23 | \| | 20.93 | 138.40 |
|
62 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 48.10 | 7.14 | \| | 20.80 | 140.13 |
|
63 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 43.83 | 17.16 | \| | 22.87 | 58.33 |
|
64 |
+
| `dynamic` | `['Add']` | `[]` | \| | 34.13 | 17.02 | \| | 29.33 | 58.80 |
|
65 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 35.07 | 9.21 | \| | 28.53 | 108.53 |
|
66 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 48.27 | 11.62 | \| | 20.73 | 86.13 |
|
67 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 34.11 | 19.23 | \| | 29.33 | 52.00 |
|
68 |
+
| `static` | `['Add']` | `[]` | \| | 48.54 | 21.18 | \| | 20.67 | 47.27 |
|
69 |
+
|
70 |
+
|
71 |
+
Below, time metrics for batch size = 1, input length = 64.
|
72 |
+
|
73 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
74 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
75 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 59.92 | 12.60 | \| | 16.73 | 79.40 |
|
76 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 59.64 | 13.25 | \| | 16.80 | 75.47 |
|
77 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 60.13 | 29.65 | \| | 16.67 | 33.73 |
|
78 |
+
| `dynamic` | `['Add']` | `[]` | \| | 59.62 | 29.51 | \| | 16.80 | 33.93 |
|
79 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 58.94 | 15.13 | \| | 17.00 | 66.13 |
|
80 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 60.49 | 18.62 | \| | 16.53 | 53.73 |
|
81 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 43.32 | 28.00 | \| | 23.13 | 35.73 |
|
82 |
+
| `static` | `['Add']` | `[]` | \| | 44.19 | 32.72 | \| | 22.67 | 30.60 |
|
83 |
+
|
84 |
+
|
85 |
+
Below, time metrics for batch size = 1, input length = 128.
|
86 |
+
|
87 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
88 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
89 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 73.39 | 26.56 | \| | 13.67 | 37.67 |
|
90 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 57.64 | 23.42 | \| | 17.40 | 42.73 |
|
91 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 64.04 | 50.14 | \| | 15.67 | 20.00 |
|
92 |
+
| `dynamic` | `['Add']` | `[]` | \| | 72.81 | 57.05 | \| | 13.80 | 17.53 |
|
93 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 70.57 | 27.59 | \| | 14.20 | 36.27 |
|
94 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 71.04 | 37.94 | \| | 14.13 | 26.40 |
|
95 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 57.65 | 57.95 | \| | 17.40 | 17.27 |
|
96 |
+
| `static` | `['Add']` | `[]` | \| | 71.66 | 58.67 | \| | 14.00 | 17.07 |
|
97 |
+
|
98 |
+
|
99 |
+
Below, time metrics for batch size = 4, input length = 32.
|
100 |
+
|
101 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
102 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
103 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 72.11 | 21.80 | \| | 13.93 | 45.93 |
|
104 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 73.15 | 20.70 | \| | 13.73 | 48.33 |
|
105 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 72.05 | 53.68 | \| | 13.93 | 18.67 |
|
106 |
+
| `dynamic` | `['Add']` | `[]` | \| | 55.97 | 53.60 | \| | 17.87 | 18.67 |
|
107 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 70.46 | 24.88 | \| | 14.20 | 40.20 |
|
108 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 56.57 | 30.90 | \| | 17.73 | 32.40 |
|
109 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 62.38 | 53.64 | \| | 16.07 | 18.67 |
|
110 |
+
| `static` | `['Add']` | `[]` | \| | 60.19 | 67.29 | \| | 16.67 | 14.87 |
|
111 |
+
|
112 |
+
|
113 |
+
Below, time metrics for batch size = 4, input length = 64.
|
114 |
+
|
115 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
116 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
117 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 121.20 | 40.12 | \| | 8.27 | 24.93 |
|
118 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 90.97 | 41.51 | \| | 11.00 | 24.13 |
|
119 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 120.85 | 106.50 | \| | 8.33 | 9.40 |
|
120 |
+
| `dynamic` | `['Add']` | `[]` | \| | 118.58 | 106.55 | \| | 8.47 | 9.40 |
|
121 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 120.57 | 54.25 | \| | 8.33 | 18.47 |
|
122 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 104.93 | 57.90 | \| | 9.60 | 17.33 |
|
123 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 90.85 | 110.46 | \| | 11.07 | 9.07 |
|
124 |
+
| `static` | `['Add']` | `[]` | \| | 120.57 | 103.62 | \| | 8.33 | 9.67 |
|
125 |
+
|
126 |
+
|
127 |
+
Below, time metrics for batch size = 4, input length = 128.
|
128 |
+
|
129 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
130 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
131 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 172.14 | 94.78 | \| | 5.87 | 10.60 |
|
132 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 220.38 | 84.18 | \| | 4.60 | 11.93 |
|
133 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 221.22 | 221.37 | \| | 4.53 | 4.53 |
|
134 |
+
| `dynamic` | `['Add']` | `[]` | \| | 203.90 | 175.16 | \| | 4.93 | 5.73 |
|
135 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 192.63 | 113.82 | \| | 5.20 | 8.80 |
|
136 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 220.32 | 122.36 | \| | 4.60 | 8.20 |
|
137 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 220.58 | 207.51 | \| | 4.60 | 4.87 |
|
138 |
+
| `static` | `['Add']` | `[]` | \| | 221.94 | 246.87 | \| | 4.53 | 4.07 |
|
139 |
+
|
140 |
+
|
141 |
+
Below, time metrics for batch size = 8, input length = 32.
|
142 |
+
|
143 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
144 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
145 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 112.67 | 43.26 | \| | 8.93 | 23.13 |
|
146 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 95.78 | 40.66 | \| | 10.47 | 24.60 |
|
147 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 117.38 | 104.28 | \| | 8.53 | 9.60 |
|
148 |
+
| `dynamic` | `['Add']` | `[]` | \| | 89.81 | 91.00 | \| | 11.20 | 11.00 |
|
149 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 89.14 | 52.09 | \| | 11.27 | 19.20 |
|
150 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 92.77 | 64.21 | \| | 10.80 | 15.60 |
|
151 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 119.10 | 114.43 | \| | 8.40 | 8.80 |
|
152 |
+
| `static` | `['Add']` | `[]` | \| | 119.28 | 127.79 | \| | 8.40 | 7.87 |
|
153 |
+
|
154 |
+
|
155 |
+
Below, time metrics for batch size = 8, input length = 64.
|
156 |
+
|
157 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
158 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
159 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 215.03 | 78.03 | \| | 4.67 | 12.87 |
|
160 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 214.76 | 87.19 | \| | 4.67 | 11.53 |
|
161 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 216.48 | 162.64 | \| | 4.67 | 6.20 |
|
162 |
+
| `dynamic` | `['Add']` | `[]` | \| | 204.29 | 212.33 | \| | 4.93 | 4.73 |
|
163 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 215.47 | 104.45 | \| | 4.67 | 9.60 |
|
164 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 209.66 | 106.43 | \| | 4.80 | 9.40 |
|
165 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 166.13 | 220.92 | \| | 6.07 | 4.53 |
|
166 |
+
| `static` | `['Add']` | `[]` | \| | 214.69 | 209.01 | \| | 4.67 | 4.80 |
|
167 |
+
|
168 |
+
|
169 |
+
Below, time metrics for batch size = 8, input length = 128.
|
170 |
+
|
171 |
+
| quantization_approach | operators_to_quantize | node_exclusion | | latency_mean (original, ms) | latency_mean (optimized, ms) | | throughput (original, /s) | throughput (optimized, /s) |
|
172 |
+
| :-------------------: | :-------------------: | :------------------------------------------------------: | :-: | :-------------------------: | :--------------------------: | :-: | :-----------------------: | :------------------------: |
|
173 |
+
| `dynamic` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 407.90 | 151.49 | \| | 2.47 | 6.67 |
|
174 |
+
| `dynamic` | `['Add', 'MatMul']` | `[]` | \| | 407.34 | 154.55 | \| | 2.47 | 6.53 |
|
175 |
+
| `dynamic` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 406.51 | 394.85 | \| | 2.47 | 2.60 |
|
176 |
+
| `dynamic` | `['Add']` | `[]` | \| | 309.53 | 445.24 | \| | 3.27 | 2.27 |
|
177 |
+
| `static` | `['Add', 'MatMul']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 407.54 | 224.46 | \| | 2.47 | 4.47 |
|
178 |
+
| `static` | `['Add', 'MatMul']` | `[]` | \| | 408.14 | 236.94 | \| | 2.47 | 4.27 |
|
179 |
+
| `static` | `['Add']` | `['layernorm', 'gelu', 'residual', 'gather', 'softmax']` | \| | 309.91 | 357.87 | \| | 3.27 | 2.80 |
|
180 |
+
| `static` | `['Add']` | `[]` | \| | 310.00 | 406.54 | \| | 3.27 | 2.47 |
|
181 |
+
|
runs.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tensorboard/1657701962.2788515/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1123cab78cf16d88e67d41db2ae06341c107ea5fcd81181fa403b8e75eae33f1
|
3 |
+
size 836
|
tensorboard/1657701962.2803338/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3f02a12ae65f6c8fae03ff7274bc581dcc37bb19ec326b018eaf3d413a2573e3
|
3 |
+
size 784
|
tensorboard/1657701962.281493/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.3
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b654c0d29843719c1edcb5a7adf51451a0cdca7ef771ab10f7f1e4babf8c004b
|
3 |
+
size 826
|
tensorboard/1657701962.282597/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.4
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0b85b76c5a3ac508fc93c9a586fb403f9bc656d6cb2d644553a580cd38960ff0
|
3 |
+
size 774
|
tensorboard/1657701962.2841494/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3893e01a6696ebcf71dae9705148bcebdfc7bba9340c76867378d760bcfef4c8
|
3 |
+
size 835
|
tensorboard/1657701962.2852757/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.6
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ee7d1b7ed59eac843570415dbcb41487d35e16c222d930e85af2a2580c5b8a0c
|
3 |
+
size 783
|
tensorboard/1657701962.2864373/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.7
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41aba3541919b1e499aca7c53d3868498ffbab7b91e32253625c60f2ea312988
|
3 |
+
size 825
|
tensorboard/1657701962.2878876/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.8
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:745f4f21f17290f46a43593afc586e4701f2425a586b75bfcbb605f1129221d7
|
3 |
+
size 773
|
tensorboard/events.out.tfevents.1657701962.ip-10-0-211-116.ec2.internal.1.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:db4aa35c2116489e4c7370f6c7df7aac3871eb1104127f8256d2de26d75acc10
|
3 |
+
size 40
|