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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: 0.7176
  • Wer: 20.2138
  • Cer: 14.0973

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
0.5854 1.0 4626 0.7068 33.7558 24.6972
0.3884 2.0 9252 0.6462 26.2113 19.0993
0.119 3.0 13878 0.6747 21.5288 15.1996
0.0365 4.0 18504 0.7176 20.2138 14.0973

Framework versions

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