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‎dashboard/public/data/artifacts/R1_inductive_adamatch_audio_speechcommands_1556683/config.yaml‎

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run:
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name: best_audio_inductive_adamatch_speechcommands_R1-seed8
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seed: 8
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output_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/outputs/R1/inductive/adamatch/audio/speechcommands/best_audio_inductive_adamatch_speechcommands_R1-sweep-20260401T065642Z
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fail_fast: true
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log_level: detailed
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limits:
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profile: auto
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dataset:
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id: speechcommands
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download: true
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cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/datasets
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options: {}
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sampling:
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seed: 8
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plan:
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split:
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kind: holdout
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test_fraction: 0.2
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val_fraction: 0.1
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stratify: true
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shuffle: true
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labeling:
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mode: per_class
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value: 1
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strategy: balanced
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min_per_class: 1
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per_class: true
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fixed_indices: null
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imbalance:
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kind: none
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policy:
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respect_official_test: true
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use_official_graph_masks: true
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allow_override_official: false
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preprocess:
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seed: 8
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fit_on: train_labeled
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cache: true
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cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/preprocess
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plan:
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output_key: features.X
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steps:
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- id: labels.encode
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- id: labels.to_torch
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params:
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device: auto
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dtype: int64
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- id: audio.load_waveform
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params:
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allow_fallback: true
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target_sample_rate: 16000
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max_length: 16000
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- id: core.to_torch
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params:
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device: auto
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dtype: float32
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augmentation:
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enabled: true
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seed: 8
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mode: fixed
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modality: audio
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weak:
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steps:
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- id: audio.add_noise
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params:
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std: 0.002
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strong:
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steps:
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- id: audio.add_noise
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params:
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std: 0.005
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- id: audio.time_shift
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params:
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max_frac: 0.1
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method:
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kind: inductive
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id: adamatch
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device:
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device: auto
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dtype: float32
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resolved_device: cuda
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params:
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lambda_u: 1.0
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p_cutoff: 0.95
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temperature: 0.5
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ema_p: 0.999
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hard_label: true
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use_cat: false
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batch_size: 128
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max_epochs: 50
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detach_target: true
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model:
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classifier_id: audio_pretrained
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classifier_backend: torch
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classifier_params:
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bundle: WAV2VEC2_BASE
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freeze_backbone: false
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lr: 0.0001
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weight_decay: 0.0001
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batch_size: 8
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max_epochs: 5
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ema: false
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evaluation:
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split_for_model_selection: val
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report_splits:
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- val
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- test
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metrics:
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- accuracy
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- macro_f1

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