| |
|
|
| common: |
| fp16: true |
| log_format: json |
| log_interval: 200 |
| tensorboard_logdir: tb |
|
|
| checkpoint: |
| save_interval: 5 |
| save_interval_updates: 25000 |
| keep_interval_updates: 1 |
| no_epoch_checkpoints: true |
|
|
| task: |
| _name: audio_pretraining |
| data: ??? |
| max_sample_size: 320000 |
| min_sample_size: 32000 |
| normalize: true |
|
|
| dataset: |
| num_workers: 6 |
| max_tokens: 3800000 |
| skip_invalid_size_inputs_valid_test: true |
| validate_interval: 5 |
| required_batch_size_multiple: 1 |
| disable_validation: true |
|
|
| distributed_training: |
| distributed_world_size: 16 |
| ddp_backend: legacy_ddp |
|
|
| criterion: |
| _name: model |
| log_keys: |
| - ema_decay |
| - target_var |
| - pred_var |
|
|
| optimization: |
| max_update: 400000 |
| lr: [0.0005] |
|
|
| optimizer: |
| _name: adam |
| adam_betas: (0.9,0.98) |
| adam_eps: 1e-06 |
| weight_decay: 0.01 |
|
|
| lr_scheduler: |
| _name: tri_stage |
| phase_ratio: [0.03,0.9,0.07] |
|
|
| model: |
| _name: data2vec_audio |
| extractor_mode: layer_norm |
| encoder_layerdrop: 0.05 |
| dropout_input: 0.0 |
| dropout_features: 0.0 |
| feature_grad_mult: 1.0 |
| encoder_embed_dim: 768 |
|
|
| mask_prob: 0.65 |
| mask_length: 10 |
|
|
| loss_beta: 0 |
| loss_scale: null |
|
|
| instance_norm_target_layer: true |
| average_top_k_layers: 8 |
|
|
| pos_conv_depth: 5 |
| conv_pos: 95 |
|
|
| ema_decay: 0.999 |
| ema_end_decay: 0.9999 |
| ema_anneal_end_step: 30000 |
| ema_transformer_only: true |
| ema_layers_only: true |
|
|
| require_same_masks: true |
| mask_dropout: 0 |
|
|
