tags:

• automatic-speech-recognition
• robust-speech-event

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on a private dataset. It achieves the following results on the evaluation set:

The following hyper-parameters were used during training:

• learning_rate: 3e-4
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 800
• num_epochs: 30
• mixed_precision_training: Native AMP