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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
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