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common: |
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memory_efficient_fp16: true |
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log_format: json |
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log_interval: 100 |
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checkpoint: |
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save_interval_updates: 10000 |
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keep_interval_updates: 1 |
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no_epoch_checkpoints: true |
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save_dir: /esat/spchtemp/scratch/jponcele/selfsupervised_exps/result/pretrain_w2v2_cgn-unsup-VW_base |
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task: |
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_name: audio_pretraining |
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data: /users/spraak/jponcele/BenchmarkingSS/data/cgn_unsup_VW_w2v2 |
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max_sample_size: 250000 |
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min_sample_size: 4000 |
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segments: true |
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normalize: true |
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dataset: |
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num_workers: 6 |
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max_tokens: 1400000 |
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skip_invalid_size_inputs_valid_test: true |
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valid_subset: test |
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data_buffer_size: 1 |
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required_batch_size_multiple: 1 |
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distributed_training: |
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distributed_world_size: 1 |
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ddp_backend: legacy_ddp |
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criterion: |
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_name: wav2vec |
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infonce: true |
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log_keys: ["prob_perplexity","code_perplexity","temp"] |
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loss_weights: [0.1, 10] |
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optimization: |
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max_update: 400000 |
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lr: [0.0005] |
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update_freq: [32] |
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optimizer: |
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_name: adam |
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adam_betas: (0.9,0.98) |
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adam_eps: 1e-06 |
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weight_decay: 0.01 |
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lr_scheduler: |
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_name: polynomial_decay |
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warmup_updates: 50000 |
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model: |
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_name: wav2vec2 |
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quantize_targets: true |
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final_dim: 256 |
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encoder_layerdrop: 0.05 |
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dropout_input: 0.1 |
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dropout_features: 0.1 |
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feature_grad_mult: 0.1 |
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