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metadata
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: base-asr-with-tpbs-cv1
    results: []

base-asr-with-tpbs-cv1

This model is a fine-tuned version of Botnoi/base-asr-with-lm on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6284
  • Wer: 0.2654
  • Cer: 0.0774
  • Clean Cer: 0.0712

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: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer Clean Cer
0.125 26.67 400 0.5910 0.2732 0.0841 0.0793
0.0426 53.33 800 0.6067 0.2647 0.0784 0.0725
0.0277 80.0 1200 0.6284 0.2654 0.0774 0.0712

Framework versions

  • Transformers 4.27.4
  • Pytorch 1.13.1+cu117
  • Datasets 2.11.0
  • Tokenizers 0.13.2