add conf and model
Browse files- _best/dev.yaml +75 -0
- _best/model.pt +3 -0
- _best/optimizer.pt +3 -0
- _test/test_holistic.yaml +74 -0
- conf/config.yaml +17 -0
- conf/dataset/DCASE2020Task1A-32k-full.yaml +26 -0
- file_handler.yaml +1 -0
- inference_transform.yaml +2 -0
- model.yaml +6 -0
- preprocess_file_handler.yaml +2 -0
- preprocess_pipeline.yaml +15 -0
- target_transform.yaml +12 -0
_best/dev.yaml
ADDED
@@ -0,0 +1,75 @@
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+
accuracy:
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all: 0.6778975741239892
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3 |
+
indoor: 0.5955056179775281
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4 |
+
transportation: 0.744943820224719
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5 |
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outdoor: 0.6893939393939394
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+
barcelona: 0.6899441340782123
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helsinki: 0.6055555555555555
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lisbon: 0.6916666666666667
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london: 0.6333333333333333
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lyon: 0.7
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milan: 0.7222222222222222
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paris: 0.6407407407407407
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prague: 0.7037037037037037
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stockholm: 0.7888888888888889
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vienna: 0.6185185185185185
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a: 0.7818181818181819
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b: 0.662613981762918
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c: 0.7537993920972644
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s1: 0.7151515151515152
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s2: 0.6393939393939394
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s3: 0.693939393939394
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s4: 0.5878787878787879
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s5: 0.6363636363636364
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s6: 0.6303030303030303
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uar:
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all: 0.6778357903357903
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indoor: 0.17866047866047866
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transportation: 0.2234177359177359
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outdoor: 0.27575757575757576
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barcelona: 0.6892857142857143
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helsinki: 0.6055555555555555
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lisbon: 0.6916666666666667
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london: 0.6333333333333333
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lyon: 0.7
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milan: 0.7222222222222221
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paris: 0.6407407407407407
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prague: 0.7037037037037036
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stockholm: 0.788888888888889
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vienna: 0.6185185185185185
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a: 0.7818181818181819
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b: 0.662689393939394
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c: 0.7532196969696969
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s1: 0.7151515151515152
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s2: 0.6393939393939394
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s3: 0.693939393939394
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s4: 0.5878787878787879
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s5: 0.6363636363636365
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s6: 0.6303030303030303
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f1:
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all: 0.6749168062342605
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indoor: 0.19811084156867503
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transportation: 0.2271758667699892
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outdoor: 0.2881361991910535
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barcelona: 0.6886997554773
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helsinki: 0.5759335679883991
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lisbon: 0.6888164334511302
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london: 0.6157976780372347
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lyon: 0.6964797177215785
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milan: 0.7240010382483217
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paris: 0.6388327199732352
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prague: 0.695055150643386
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stockholm: 0.788032284326784
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vienna: 0.6090276878425037
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a: 0.7815124703839376
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b: 0.6553095431223975
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c: 0.7488215864579635
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s1: 0.7126841844786147
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s2: 0.6397417049924943
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s3: 0.6915049920183336
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s4: 0.5776683793542468
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s5: 0.6310350300788099
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s6: 0.6228499905056908
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dev_loss:
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all: 1.2605852405864366
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iteration: 11349
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_best/model.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf8e1bcb63c5f6e2cb2209d4b0d13ad061b2334db01328721db50a61cdb00b1a
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size 318867789
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_best/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:5285ddff97256925ad98325ba9ef8719b63c57f495b57c6180d9aef9dfa28f6a
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size 637590210
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_test/test_holistic.yaml
ADDED
@@ -0,0 +1,74 @@
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1 |
+
accuracy:
|
2 |
+
all: 0.6778975741239892
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3 |
+
indoor: 0.5955056179775281
|
4 |
+
transportation: 0.744943820224719
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5 |
+
outdoor: 0.6893939393939394
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6 |
+
barcelona: 0.6899441340782123
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7 |
+
helsinki: 0.6055555555555555
|
8 |
+
lisbon: 0.6916666666666667
|
9 |
+
london: 0.6333333333333333
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10 |
+
lyon: 0.7
|
11 |
+
milan: 0.7222222222222222
|
12 |
+
paris: 0.6407407407407407
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13 |
+
prague: 0.7037037037037037
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+
stockholm: 0.7888888888888889
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15 |
+
vienna: 0.6185185185185185
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16 |
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a: 0.7818181818181819
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b: 0.662613981762918
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c: 0.7537993920972644
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s1: 0.7151515151515152
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s2: 0.6393939393939394
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s3: 0.693939393939394
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s4: 0.5878787878787879
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s5: 0.6363636363636364
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s6: 0.6303030303030303
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uar:
|
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all: 0.6778357903357903
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27 |
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indoor: 0.17866047866047866
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transportation: 0.2234177359177359
|
29 |
+
outdoor: 0.27575757575757576
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30 |
+
barcelona: 0.6892857142857143
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31 |
+
helsinki: 0.6055555555555555
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32 |
+
lisbon: 0.6916666666666667
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33 |
+
london: 0.6333333333333333
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34 |
+
lyon: 0.7
|
35 |
+
milan: 0.7222222222222221
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36 |
+
paris: 0.6407407407407407
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37 |
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prague: 0.7037037037037036
|
38 |
+
stockholm: 0.788888888888889
|
39 |
+
vienna: 0.6185185185185185
|
40 |
+
a: 0.7818181818181819
|
41 |
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b: 0.662689393939394
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c: 0.7532196969696969
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43 |
+
s1: 0.7151515151515152
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s2: 0.6393939393939394
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+
s3: 0.693939393939394
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s4: 0.5878787878787879
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s5: 0.6363636363636365
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s6: 0.6303030303030303
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+
f1:
|
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all: 0.6749168062342605
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+
indoor: 0.19811084156867503
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+
transportation: 0.2271758667699892
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53 |
+
outdoor: 0.2881361991910535
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54 |
+
barcelona: 0.6886997554773
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55 |
+
helsinki: 0.5759335679883991
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56 |
+
lisbon: 0.6888164334511302
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+
london: 0.6157976780372347
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58 |
+
lyon: 0.6964797177215785
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59 |
+
milan: 0.7240010382483217
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+
paris: 0.6388327199732352
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61 |
+
prague: 0.695055150643386
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+
stockholm: 0.788032284326784
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vienna: 0.6090276878425037
|
64 |
+
a: 0.7815124703839376
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b: 0.6553095431223975
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c: 0.7488215864579635
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s1: 0.7126841844786147
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s2: 0.6397417049924943
|
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+
s3: 0.6915049920183336
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+
s4: 0.5776683793542468
|
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+
s5: 0.6310350300788099
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s6: 0.6228499905056908
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loss:
|
74 |
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all: 1.2605852405864366
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conf/config.yaml
ADDED
@@ -0,0 +1,17 @@
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defaults:
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2 |
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- _autrainer_
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- _self_
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4 |
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|
5 |
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results_dir: results
|
6 |
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experiment_id: default
|
7 |
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iterations: 50
|
8 |
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|
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hydra:
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10 |
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sweeper:
|
11 |
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params:
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12 |
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+seed: 1
|
13 |
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+batch_size: 16
|
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+learning_rate: 0.0001
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dataset: DCASE2020Task1A-32k-full
|
16 |
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model: Cnn14-32k-T
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17 |
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optimizer: Adam
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conf/dataset/DCASE2020Task1A-32k-full.yaml
ADDED
@@ -0,0 +1,26 @@
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id: DCASE2020Task1A-32k
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_target_: autrainer.datasets.DCASE2020Task1A
|
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|
4 |
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dev_split: 0.0
|
5 |
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dev_split_seed: 0
|
6 |
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stratify:
|
7 |
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- scene_label
|
8 |
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- city
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9 |
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- device
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10 |
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|
11 |
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path: data/DCASE2020Task1A
|
12 |
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features_subdir: log_mel_32k
|
13 |
+
index_column: filename
|
14 |
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target_column: scene_label
|
15 |
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file_type: npy
|
16 |
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file_handler: autrainer.datasets.utils.NumpyFileHandler
|
17 |
+
|
18 |
+
criterion: autrainer.criterions.BalancedCrossEntropyLoss
|
19 |
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metrics:
|
20 |
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- autrainer.metrics.Accuracy
|
21 |
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- autrainer.metrics.UAR
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22 |
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- autrainer.metrics.F1
|
23 |
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tracking_metric: autrainer.metrics.Accuracy
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24 |
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|
25 |
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transform:
|
26 |
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type: grayscale
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file_handler.yaml
ADDED
@@ -0,0 +1 @@
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1 |
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$autrainer.datasets.utils.file_handlers.NumpyFileHandler==0.3.0: {}
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inference_transform.yaml
ADDED
@@ -0,0 +1,2 @@
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1 |
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$autrainer.transforms.smart_compose.SmartCompose==0.3.0:
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transforms: []
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model.yaml
ADDED
@@ -0,0 +1,6 @@
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1 |
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$autrainer.models.cnn_14.Cnn14==0.3.0:
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2 |
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output_dim: 10
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3 |
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sigmoid_output: false
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4 |
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segmentwise: false
|
5 |
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in_channels: 1
|
6 |
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transfer: https://zenodo.org/records/3987831/files/Cnn14_mAP%3D0.431.pth
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preprocess_file_handler.yaml
ADDED
@@ -0,0 +1,2 @@
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1 |
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$autrainer.datasets.utils.file_handlers.AudioFileHandler==0.3.0:
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2 |
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target_sample_rate: 32000
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preprocess_pipeline.yaml
ADDED
@@ -0,0 +1,15 @@
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1 |
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$autrainer.transforms.smart_compose.SmartCompose==0.3.0:
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2 |
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transforms:
|
3 |
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- $autrainer.transforms.specific_transforms.StereoToMono==0.3.0:
|
4 |
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order: -95
|
5 |
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- $autrainer.transforms.specific_transforms.PannMel==0.3.0:
|
6 |
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window_size: 1024
|
7 |
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hop_size: 320
|
8 |
+
sample_rate: 32000
|
9 |
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fmin: 50
|
10 |
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fmax: 14000
|
11 |
+
mel_bins: 64
|
12 |
+
ref: 1.0
|
13 |
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amin: 1.0e-10
|
14 |
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top_db: null
|
15 |
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order: -90
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target_transform.yaml
ADDED
@@ -0,0 +1,12 @@
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$autrainer.datasets.utils.target_transforms.LabelEncoder==0.3.0:
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2 |
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labels:
|
3 |
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- airport
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4 |
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- bus
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5 |
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- metro
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6 |
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- metro_station
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7 |
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- park
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8 |
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- public_square
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9 |
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- shopping_mall
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10 |
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- street_pedestrian
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11 |
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- street_traffic
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12 |
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- tram
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