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| # @package __global__ | |
| defaults: | |
| - /solver/default | |
| - /conditioner: none | |
| - _self_ | |
| - /solver/musicgen/evaluation: none | |
| - override /dset: audio/default | |
| autocast: true | |
| autocast_dtype: float16 | |
| solver: musicgen | |
| sample_rate: ??? | |
| channels: ??? | |
| compression_model_checkpoint: ??? | |
| tokens: | |
| padding_with_special_token: false | |
| cache: | |
| path: | |
| write: false | |
| write_shard: 0 | |
| write_num_shards: 1 | |
| dataset: | |
| batch_size: 128 | |
| num_workers: 10 | |
| segment_duration: 30 | |
| min_segment_ratio: 0.8 # lower values such as 0.5 result in generations with a lot of silence. | |
| return_info: true | |
| train: | |
| num_samples: 1000000 # need a randomly large number here for AudioDataset | |
| valid: | |
| num_samples: 10000 | |
| generate: | |
| num_samples: 5 | |
| metrics: | |
| fad: | |
| use_gt: false | |
| model: tf | |
| tf: | |
| bin: null # path to local frechet_audio_distance code | |
| model_path: //reference/fad/vggish_model.ckpt | |
| kld: | |
| use_gt: false | |
| model: passt | |
| passt: | |
| pretrained_length: 20 | |
| text_consistency: | |
| use_gt: false | |
| model: clap | |
| clap: | |
| model_path: //reference/clap/music_audioset_epoch_15_esc_90.14.pt | |
| model_arch: 'HTSAT-base' | |
| enable_fusion: false | |
| chroma_cosine: | |
| use_gt: false | |
| model: chroma_base | |
| chroma_base: | |
| sample_rate: ${sample_rate} | |
| n_chroma: 12 | |
| radix2_exp: 14 | |
| argmax: true | |
| generate: | |
| every: 25 | |
| num_workers: 4 | |
| path: samples | |
| audio: | |
| format: wav | |
| strategy: loudness | |
| sample_rate: ${sample_rate} | |
| loudness_headroom_db: 14 | |
| lm: | |
| prompted_samples: true | |
| unprompted_samples: true | |
| gen_gt_samples: false | |
| prompt_duration: null # if not set, will use dataset.generate.segment_duration / 4 | |
| gen_duration: null # if not set, will use dataset.generate.segment_duration | |
| remove_prompts: false | |
| # generation params | |
| use_sampling: false | |
| temp: 1.0 | |
| top_k: 0 | |
| top_p: 0.0 | |
| evaluate: | |
| every: 25 | |
| num_workers: 4 | |
| metrics: | |
| base: false | |
| fad: false | |
| kld: false | |
| text_consistency: false | |
| chroma_cosine: false | |
| checkpoint: | |
| save_last: true | |
| save_every: 25 | |
| keep_last: 10 | |
| keep_every_states: null | |
| optim: | |
| epochs: 200 | |
| updates_per_epoch: 2000 | |
| lr: 1e-4 | |
| optimizer: adamw | |
| max_norm: 1.0 | |
| eager_sync: true | |
| adam: | |
| betas: [0.9, 0.95] | |
| weight_decay: 0.1 | |
| eps: 1e-8 | |
| grad_accum_steps: 1 | |
| schedule: | |
| lr_scheduler: null | |