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Wav2vec2.0-xlsr-53 model is fine-tuned on commonvoice russian dataset |
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Configs (yaml) |
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checkpoint: |
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save_interval: 1000 |
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save_interval_updates: 1000 |
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keep_interval_updates: 1 |
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no_epoch_ckechpoints: true |
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best_checkpoint_metric: wer |
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task: |
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_name: audio_finetuning |
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normalize: true |
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labels: phn |
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dataset: |
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num_workers: 6 |
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max_tokens: 800000 |
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skip_invalid_size_inputs_valid_test: true |
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valid_subset: valie |
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distributed_training: |
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ddp_backend: legacy_ddp |
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distributed_world_size: 4 |
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criterion: |
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_name: ctc |
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zero_infinity: true |
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optimization: |
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max_update: 25000 |
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lr: [0.00001] |
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sentence_avg: true |
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update_freq: [4] |
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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-8 |
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lr_scheduler: |
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_name: tri_stage |
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phase_ratio: [0.1, 0.4, 0.5] |
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final_lr_scale: 0.05 |
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model: |
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_name: wav2vec_ctc |
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apply_mask: true |
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mask_prob: 0.5 |
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mask_channel_prob: 0.1 |
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mask_channel_length: 64 |
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layerdrop: 0.1 |
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activation_dropout: 0.1 |
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feature_grad_mult: 0.0 |
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freeze_finetune_updates: 0 |