libri-alpha-0.85-Temp-1-processor-change

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libri-alpha-0.85-Temp-1-processor-change

This model is a distilled version of Wav2vec2 on the 30% of the Librispeech-clean.100 dataset. It achieves the following results on the evaluation set:

• Loss: 78.4467
• Wer: 0.1153

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Knowledge distillation of Wav2vec2-base-960h teacher model with 6 attention layers for student model.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30
• mixed_precision_training: Native AMP
• alpha: 0.75(ignore name of repo)
• temperature: 1

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.7.1
• Tokenizers 0.11.0