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Hanhpt23
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whisper-small-multimed

Automatic Speech Recognition
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Safetensors
whisper
Generated from Trainer
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whisper-small-multimed / README.md
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metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: openai/whisper-small
    results: []

openai/whisper-small

This model is a fine-tuned version of openai/whisper-small on the Hanhpt23/MultiMed dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7193
  • Wer: 19.9744
  • Cer: 14.0186

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: 8
  • 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: 100
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.6396 1.0 4626 0.7132 31.7615 22.7290
0.3406 2.0 9252 0.6568 25.4179 18.0443
0.1281 3.0 13878 0.6780 22.2623 15.5534
0.026 4.0 18504 0.7193 19.9744 14.0186

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.3.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1