wav2vec2-base-mn-pretrain-42h-finetuned-speech-commands

This model is a fine-tuned version of bayartsogt/wav2vec2-base-mn-pretrain-42h on the Mongolian Speech Commands dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.5607
  • eval_mn_acc: 0.9830
  • eval_mn_f1: 0.9857
  • eval_en_acc: 0.8914
  • eval_en_f1: 0.8671
  • eval_runtime: 109.6829
  • eval_samples_per_second: 46.188
  • eval_steps_per_second: 0.365
  • epoch: 6.41
  • step: 4352

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 8

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3