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metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: msc_imasc_openslr_festfox_Whisper_Medium
    results: []

msc_imasc_openslr_festfox_Whisper_Medium

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0318
  • Wer: 14.7300

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: 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
  • training_steps: 6000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0599 0.4 1000 0.0910 42.4981
0.0341 0.79 2000 0.0584 30.0572
0.0183 1.19 3000 0.0439 23.1650
0.0147 1.58 4000 0.0363 18.7360
0.0107 1.98 5000 0.0322 16.4220
0.0032 2.37 6000 0.0318 14.7300

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1