ramppdev commited on
Commit
7b262d0
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1 Parent(s): 0410552

add conf and model

Browse files
_best/dev.yaml ADDED
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+ accuracy:
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+ indoor: 0.5955056179775281
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+ transportation: 0.744943820224719
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+ outdoor: 0.6893939393939394
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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
_best/model.pt ADDED
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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
_best/optimizer.pt ADDED
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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
_test/test_holistic.yaml ADDED
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1
+ accuracy:
2
+ all: 0.6778975741239892
3
+ indoor: 0.5955056179775281
4
+ transportation: 0.744943820224719
5
+ outdoor: 0.6893939393939394
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+ barcelona: 0.6899441340782123
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+ helsinki: 0.6055555555555555
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+ lisbon: 0.6916666666666667
9
+ london: 0.6333333333333333
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+ lyon: 0.7
11
+ milan: 0.7222222222222222
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+ paris: 0.6407407407407407
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+ prague: 0.7037037037037037
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+ stockholm: 0.7888888888888889
15
+ 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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+ loss:
74
+ all: 1.2605852405864366
conf/config.yaml ADDED
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+ defaults:
2
+ - _autrainer_
3
+ - _self_
4
+
5
+ results_dir: results
6
+ experiment_id: default
7
+ iterations: 50
8
+
9
+ hydra:
10
+ sweeper:
11
+ params:
12
+ +seed: 1
13
+ +batch_size: 16
14
+ +learning_rate: 0.0001
15
+ dataset: DCASE2020Task1A-32k-full
16
+ model: Cnn14-32k-T
17
+ optimizer: Adam
conf/dataset/DCASE2020Task1A-32k-full.yaml ADDED
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+ id: DCASE2020Task1A-32k
2
+ _target_: autrainer.datasets.DCASE2020Task1A
3
+
4
+ dev_split: 0.0
5
+ dev_split_seed: 0
6
+ stratify:
7
+ - scene_label
8
+ - city
9
+ - device
10
+
11
+ path: data/DCASE2020Task1A
12
+ features_subdir: log_mel_32k
13
+ index_column: filename
14
+ target_column: scene_label
15
+ file_type: npy
16
+ file_handler: autrainer.datasets.utils.NumpyFileHandler
17
+
18
+ criterion: autrainer.criterions.BalancedCrossEntropyLoss
19
+ metrics:
20
+ - autrainer.metrics.Accuracy
21
+ - autrainer.metrics.UAR
22
+ - autrainer.metrics.F1
23
+ tracking_metric: autrainer.metrics.Accuracy
24
+
25
+ transform:
26
+ type: grayscale
file_handler.yaml ADDED
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+ $autrainer.datasets.utils.file_handlers.NumpyFileHandler==0.3.0: {}
inference_transform.yaml ADDED
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+ $autrainer.transforms.smart_compose.SmartCompose==0.3.0:
2
+ transforms: []
model.yaml ADDED
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+ $autrainer.models.cnn_14.Cnn14==0.3.0:
2
+ output_dim: 10
3
+ sigmoid_output: false
4
+ segmentwise: false
5
+ in_channels: 1
6
+ transfer: https://zenodo.org/records/3987831/files/Cnn14_mAP%3D0.431.pth
preprocess_file_handler.yaml ADDED
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+ $autrainer.datasets.utils.file_handlers.AudioFileHandler==0.3.0:
2
+ target_sample_rate: 32000
preprocess_pipeline.yaml ADDED
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+ $autrainer.transforms.smart_compose.SmartCompose==0.3.0:
2
+ transforms:
3
+ - $autrainer.transforms.specific_transforms.StereoToMono==0.3.0:
4
+ order: -95
5
+ - $autrainer.transforms.specific_transforms.PannMel==0.3.0:
6
+ window_size: 1024
7
+ hop_size: 320
8
+ sample_rate: 32000
9
+ fmin: 50
10
+ fmax: 14000
11
+ mel_bins: 64
12
+ ref: 1.0
13
+ amin: 1.0e-10
14
+ top_db: null
15
+ order: -90
target_transform.yaml ADDED
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+ $autrainer.datasets.utils.target_transforms.LabelEncoder==0.3.0:
2
+ labels:
3
+ - airport
4
+ - bus
5
+ - metro
6
+ - metro_station
7
+ - park
8
+ - public_square
9
+ - shopping_mall
10
+ - street_pedestrian
11
+ - street_traffic
12
+ - tram