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Paul Primus
dcase2020_task2
Commits
ec2e28d9
Commit
ec2e28d9
authored
Apr 05, 2020
by
Paul Primus
Browse files
add micro seconds to experiment name
parent
0153e2f5
Changes
3
Hide whitespace changes
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README.md
View file @
ec2e28d9
...
...
@@ -19,24 +19,28 @@ ___
| Type | ID | AUC | pAUC |
| :--- | :--- | ---- | ---- |
| 0 | 0 | | |
| 0 | 2 | | |
| 0 | 4 | | |
| 0 | 6 | | |
| 1 | 0 | | |
| 1 | 2 | | |
| 1 | 4 | | |
| 1 | 6 | | |
| 2 | 0 | | |
| 2 | 2 | | |
| 2 | 4 | | |
| 2 | 6 | | |
| 3 | 1 | | |
| 3 | 2 | | |
| 3 | 3 | | |
| 4 | 0 | | |
| 4 | 2 | | |
| 4 | 4 | | |
| 4 | 6 | | |
\ No newline at end of file
| Machine | Type | ID | AUC | pAUC |
| ------- | :--- | :--- | ---------- | ---------- |
| fan | 0 | 0 | 0.5639 | 0.4959 |
| fan | 0 | 2 | 0.8054 | 0.6094 |
| fan | 0 | 4 | 0.6660 | 0.5412 |
| fan | 0 | 6 | 0.9021 | 0.7100 |
| slider | 1 | 0 | 0.6967 (?) | 0.5395 (?) |
| slider | 1 | 2 | 0.6124 (?) | 0.5770 (?) |
| slider | 1 | 4 | 0.9497 | 0.7931 |
| slider | 1 | 6 | 0.8018 | 0.6068 |
| pump | 2 | 0 | 0.9341 | 0.69914 |
| pump | 2 | 2 | 0.7753 | 0.6069 |
| pump | 2 | 4 | 0.9043 | 0.6256 (?) |
| pump | 2 | 6 | 0.6628 (?) | 0.4979 |
| ToyCar | 3 | 1 | 0.7975 (-) | 0.6979 |
| ToyCar | 3 | 2 | 0.8678 | 0.7775 |
| ToyCar | 3 | 3 | 0.6651 | 0.5633 |
| ToyCar | 3 | 4 | 0.8859 | 0.7442 |
| ToyCon | 4 | 1 | 0.7551 (-) | 0.6256 (-) |
| ToyCon | 4 | 2 | 0.6276 (-) | 0.5589 (-) |
| ToyCon | 4 | 3 | 0.7386 (-) | 0.5949 (-) |
| valve | 5 | 0 | 0.6751 (-) | 0.5179 |
| valve | 5 | 2 | 0.6285 (-) | 0.5105 (-) |
| valve | 5 | 4 | 0.7339 (-) | 0.5263 |
| valve | 5 | 6 | 0.5888 | 0.4947 |
\ No newline at end of file
dcase2020_task2/configs/baseline_config.py
View file @
ec2e28d9
...
...
@@ -28,6 +28,9 @@ def configuration():
learning_rate
=
1e-3
weight_decay
=
0
normalize_raw
=
False
normalize
=
False
########################
# detailed configuration
########################
...
...
@@ -52,7 +55,9 @@ def configuration():
'context'
:
context
,
'num_mel'
:
num_mel
,
'n_fft'
:
n_fft
,
'hop_size'
:
hop_size
'hop_size'
:
hop_size
,
'normalize'
:
normalize
,
'normalize_raw'
:
normalize_raw
}
}
...
...
scripts/baseline.sh
View file @
ec2e28d9
...
...
@@ -2,32 +2,32 @@ cd ..
cd
dcase2020_task2
conda activate dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
0
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
4
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
6
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
0
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
2
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
4
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
0
machine_id
=
6
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
0
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
4
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
6
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
0
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
2
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
4
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
1
machine_id
=
6
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
0
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
4
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
6
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
0
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
2
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
4
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
2
machine_id
=
6
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
1
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
3
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
4
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
1
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
2
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
3
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
3
machine_id
=
4
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
4
machine_id
=
1
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
4
machine_id
=
2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
4
machine_id
=
3
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
4
machine_id
=
1
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
4
machine_id
=
2
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
4
machine_id
=
3
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
0
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
4
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
0
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
6
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
0
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
2
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
4
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
OMP_NUM_THREADS
=
1
CUDA_VISIBLE_DEVICES
=
$3
python
-m
experiments.baseline_experiment with
num_workers
=
4
machine_type
=
5
machine_id
=
6
normalize
=
$1
normalize_raw
=
$2
-m
student2.cp.jku.at:27017:dcase2020_task2
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