shahules786
commited on
Commit
·
d291863
1
Parent(s):
ab2d8a2
model files
Browse files- config.yaml +91 -0
- pytorch_model.ckpt +3 -0
config.yaml
ADDED
@@ -0,0 +1,91 @@
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model:
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_target_: enhancer.models.waveunet.WaveUnet
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num_channels: 1
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depth: 9
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initial_output_channels: 24
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sampling_rate: 16000
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dataset:
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_target_: enhancer.data.dataset.EnhancerDataset
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name: vctk
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root_dir: /scratch/c.sistc3/DS_10283_2791
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duration: 2
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stride: 1
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sampling_rate: 16000
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batch_size: 128
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valid_minutes: 25
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files:
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train_clean: clean_trainset_28spk_wav
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test_clean: clean_testset_wav
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train_noisy: noisy_trainset_28spk_wav
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test_noisy: noisy_testset_wav
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optimizer:
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_target_: torch.optim.Adam
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lr: 0.001
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betas:
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- 0.9
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- 0.999
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eps: 1.0e-08
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weight_decay: 0
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amsgrad: false
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hyperparameters:
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loss: mae
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metric:
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- stoi
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- pesq
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- si-sdr
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lr: 0.003
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ReduceLr_patience: 10
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Early_stop: false
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ReduceLr_factor: 0.1
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min_lr: 1.0e-07
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EarlyStopping_patience: 10
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trainer:
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_target_: pytorch_lightning.Trainer
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accelerator: gpu
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accumulate_grad_batches: 1
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amp_backend: native
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auto_lr_find: false
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auto_scale_batch_size: false
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auto_select_gpus: true
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benchmark: false
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check_val_every_n_epoch: 1
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detect_anomaly: false
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deterministic: false
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devices: 1
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enable_checkpointing: true
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enable_model_summary: true
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enable_progress_bar: true
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fast_dev_run: false
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gpus: null
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gradient_clip_val: 0
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gradient_clip_algorithm: norm
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ipus: null
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limit_predict_batches: 1.0
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limit_test_batches: 1.0
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limit_train_batches: 1.0
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limit_val_batches: 1.0
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log_every_n_steps: 50
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max_epochs: 200
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max_steps: -1
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max_time: null
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min_epochs: 1
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min_steps: null
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move_metrics_to_cpu: false
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multiple_trainloader_mode: max_size_cycle
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num_nodes: 1
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num_processes: 1
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num_sanity_val_steps: 2
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overfit_batches: 0.0
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precision: 32
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profiler: null
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reload_dataloaders_every_n_epochs: 0
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replace_sampler_ddp: true
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strategy: null
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sync_batchnorm: false
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tpu_cores: null
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track_grad_norm: -1
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val_check_interval: 1.0
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weights_save_path: null
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mlflow:
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experiment_name: shahules/enhancer
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run_name: WaveUnet-vctk
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pytorch_model.ckpt
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6554d04212225b4ec99077ed2dda13436fbe9fa33a55d6a331feea7c7e856d6
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size 54447197
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