Edit model card

pseudolabeling-step2-F04

This model is a fine-tuned version of yip-i/wav2vec2-pretrain-demo on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.2502
  • Wer: 1.0

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
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Wer
74.4163 3.36 500 3.6878 1.0
3.3612 6.71 1000 3.5619 1.0
3.3127 10.07 1500 3.5773 1.0
3.2104 13.42 2000 3.5299 1.0
3.2067 16.78 2500 3.5704 0.9922
3.1511 20.13 3000 4.3842 1.0
3.0825 23.49 3500 4.2644 1.0
3.0959 26.85 4000 5.2502 1.0

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.12.1+cu113
  • Datasets 1.18.3
  • Tokenizers 0.13.2
Downloads last month
2