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| # @package _group_ | |
| common: | |
| fp16: true | |
| log_format: json | |
| log_interval: 200 | |
| checkpoint: | |
| 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: | |
| batch_size: 4 | |
| num_workers: 6 | |
| max_tokens: 1200000 | |
| skip_invalid_size_inputs_valid_test: true | |
| distributed_training: | |
| distributed_world_size: 128 | |
| ddp_backend: legacy_ddp | |
| criterion: | |
| _name: wav2vec | |
| infonce: true | |
| log_keys: ["prob_perplexity","code_perplexity","temp"] | |
| loss_weights: [0.1, 0] | |
| optimization: | |
| max_update: 1000000 | |
| lr: [0.005] | |
| optimizer: | |
| _name: adam | |
| adam_betas: (0.9,0.98) | |
| adam_eps: 1e-06 | |
| weight_decay: 0.01 | |
| lr_scheduler: | |
| _name: polynomial_decay | |
| warmup_updates: 32000 | |
| model: | |
| _name: wav2vec2 | |
| quantize_targets: true | |
| extractor_mode: layer_norm | |
| layer_norm_first: true | |
| final_dim: 768 | |
| latent_temp: [2.0,0.1,0.999995] | |
| encoder_layerdrop: 0.00 | |
| dropout_input: 0.0 | |
| dropout_features: 0.0 | |
| dropout: 0.0 | |
| attention_dropout: 0.0 | |
| conv_bias: true | |
| encoder_layers: 24 | |
| encoder_embed_dim: 1024 | |
| encoder_ffn_embed_dim: 4096 | |
| encoder_attention_heads: 16 | |
| feature_grad_mult: 1.0 | |