train04

This model is a fine-tuned version of openai/whisper-base on the ksponspeech_04 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4226
  • Cer: 14.6674

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: 1e-05
  • train_batch_size: 128
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.4513 0.13 100 0.4522 15.1448
0.4537 0.26 200 0.4484 14.7932
0.4419 0.39 300 0.4439 14.4669
0.4402 0.52 400 0.4399 14.8185
0.4397 0.65 500 0.4353 14.4394
0.4359 0.77 600 0.4282 14.0848
0.4245 0.9 700 0.4226 14.6674

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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