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name: test_noisy_audio_clips_classifier |
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use_tb_logger: true |
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model: extensibletrainer |
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distortion: sr |
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scale: 1 |
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gpu_ids: [0] |
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start_step: 0 |
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checkpointing_enabled: true |
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fp16: false |
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wandb: true |
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datasets: |
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test: |
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name: clips_val |
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n_workers: 1 |
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batch_size: 16 |
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mode: unsupervised_audio |
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path: [Z:\split\garbage-2\podcast_dump0_garbage] |
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cache_path: Z:\split\garbage-2\podcast_dump0_garbage_cache.pth |
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sampling_rate: 22050 |
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do_augmentation: false |
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pad_to_samples: 65536 |
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extra_samples: 0 |
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networks: |
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classifier: |
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type: generator |
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which_model_G: mini_audio_encoder_classifier |
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kwargs: |
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classes: 5 |
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spec_dim: 80 |
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embedding_dim: 1024 |
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base_channels: 128 |
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depth: 3 |
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resnet_blocks: 2 |
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attn_blocks: 8 |
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num_attn_heads: 4 |
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dropout: .1 |
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path: |
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pretrain_model_classifier: noisy_audio_clips_classifier.pth |
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strict_load: true |
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steps: |
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classifier: |
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training: classifier |
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optimizer: adamw |
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optimizer_params: |
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lr: !!float 3e-4 |
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weight_decay: !!float 1e-5 |
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beta1: 0.9 |
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beta2: 0.9999 |
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clip_grad_eps: 1.0 |
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injectors: |
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to_mel: |
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type: mel_spectrogram |
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in: clip |
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out: actual_mel |
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pad: |
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type: pad |
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multiple: 16 |
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in: actual_mel |
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out: inp_mel |
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gen_inj_train: |
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type: generator |
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generator: classifier |
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in: inp_mel |
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out: logits |
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losses: |
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classification_loss: |
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type: crossentropy |
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weight: 1.0 |
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logits: logits |
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labels: label |
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train: |
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niter: 500000 |
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warmup_iter: -1 |
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mega_batch_factor: 1 |
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val_freq: 2000 |
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default_lr_scheme: MultiStepLR |
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gen_lr_steps: [ 20000, 40000, 60000 ] |
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lr_gamma: 0.2 |
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eval: |
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path_key: path |
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classifier_logits_key: logits |
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output_dir: D:\tmp\podcasts_split |
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output_labels: [fine, env_noise, music, two_voices, reverb] |
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logger: |
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print_freq: 30 |
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save_checkpoint_freq: 1000 |
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visuals: [] |
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is_mel_spectrogram: true |
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visual_debug_rate: 500 |
