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nawta/wav2vec2-onomatopoeia-finetune_smalldata_ESC50pretrained_3

sourceHugging Faceupdated 4y agoView on Hugging Face
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wav2vec2-onomatopoeia-finetunesmalldataESC50pretrained_3

This model is a fine-tuned version of /root/workspace/wav2vec2-pretrained_with_ESC50_10000epochs_32batch_2022-07-09_22-16-46/pytorch_model.bin on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.5350
  • —Cer: 1.2730

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: 0.0001
  • —trainbatchsize: 64
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossCer
4.42434.675002.69011.1259
2.42829.3510002.74951.1563
2.337714.0215002.24750.9617
2.243418.6920002.27651.1908
2.273123.3625002.25741.1669
2.343628.0430002.53501.2730

Framework versions

  • —Transformers 4.11.3
  • —Pytorch 1.9.1+cu111
  • —Datasets 1.13.3
  • —Tokenizers 0.10.3