whisper_small_tw11 / README.md
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huygdng/whisper_small_tw11
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metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper_small_tw11
    results: []

whisper_small_tw11

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

  • Loss: 3.0462
  • Wer: 1.3691

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: 6.25e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1200
  • training_steps: 2400

Training results

Training Loss Epoch Step Validation Loss Wer
2.5528 2.86 400 2.8688 2.2350
1.5461 5.71 800 2.2548 2.1533
0.6586 8.57 1200 2.4110 1.5250
0.1633 11.43 1600 2.6985 1.4415
0.0318 14.29 2000 2.9465 1.2165
0.0119 17.14 2400 3.0462 1.3691

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0