Upload hparams.yaml with huggingface_hub
Browse files- hparams.yaml +132 -0
hparams.yaml
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accelerator: gpu
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accumulate_grad_batches: null
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amp_backend: native
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amp_level: null
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auto_lr_find: false
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auto_scale_batch_size: false
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auto_select_gpus: false
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batch_size: 4
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benchmark: null
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betas: !!python/tuple
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- 0.8
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- 0.99
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c_kl: 1.0
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c_mel: 45
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channels: 1
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check_val_every_n_epoch: 1
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checkpoint_epochs: 1
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dataset:
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- !!python/object/apply:pathlib.PosixPath
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- /
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- kaggle
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- working
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- piper
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- Test-high-cleaned-210-samples
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- dataset.jsonl
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dataset_dir: &id001 !!python/object/apply:pathlib.PosixPath
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- /
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- kaggle
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- working
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- piper
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- Test-high-cleaned-210-samples
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default_root_dir: *id001
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detect_anomaly: false
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deterministic: null
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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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eps: 1.0e-09
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fast_dev_run: false
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filter_channels: 768
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filter_length: 1024
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gin_channels: 0
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gpus: null
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grad_clip: null
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gradient_clip_algorithm: null
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gradient_clip_val: null
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hidden_channels: 192
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hop_length: 256
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init_lr_ratio: 1.0
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inter_channels: 192
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ipus: null
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kernel_size: 3
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learning_rate: 0.0002
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limit_predict_batches: null
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limit_test_batches: null
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limit_train_batches: null
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limit_val_batches: null
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log_every_n_steps: 10
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logger: true
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lr_decay: 0.999875
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max_epochs: 20
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max_phoneme_ids: null
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max_steps: -1
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max_time: null
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mel_channels: 80
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mel_fmax: null
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mel_fmin: 0.0
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min_epochs: null
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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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n_heads: 2
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n_layers: 6
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n_layers_q: 3
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num_ckpt: 0
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num_nodes: 1
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num_processes: null
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num_sanity_val_steps: 2
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num_speakers: 2
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num_symbols: 256
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num_test_examples: 0
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num_workers: 1
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overfit_batches: 0.0
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p_dropout: 0.1
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plugins: null
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precision: 32
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profiler: null
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quality: high
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reload_dataloaders_every_n_epochs: 0
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replace_sampler_ddp: true
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resblock: '1'
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resblock_dilation_sizes: !!python/tuple
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- &id002 !!python/tuple
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- 1
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- 3
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- 5
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- *id002
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- *id002
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resblock_kernel_sizes: !!python/tuple
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- 3
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- 7
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- 11
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resume_from_checkpoint: null
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resume_from_single_speaker_checkpoint: /content/pretrained.ckpt
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sample_bytes: 2
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sample_rate: 22050
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save_last: true
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seed: 1234
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segment_size: 8192
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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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upsample_initial_channel: 512
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upsample_kernel_sizes: !!python/tuple
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- 16
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- 16
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- 4
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- 4
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upsample_rates: !!python/tuple
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- 8
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- 8
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- 2
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- 2
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use_sdp: true
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use_spectral_norm: false
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val_check_interval: null
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validation_split: 0.0
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warmup_epochs: 0
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weights_save_path: null
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win_length: 1024
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