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Nonstudio_Studio_Whisper_Medium

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

Nonstudio_Studio_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: 0.0313
  • Wer: 14.9042

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
0.0611 0.38 1000 0.0875 42.0254
0.0348 0.77 2000 0.0556 29.6840
0.0195 1.15 3000 0.0459 23.8368
0.0133 1.53 4000 0.0373 19.1092
0.0138 1.92 5000 0.0318 16.5962
0.004 2.3 6000 0.0313 14.9042

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.1+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1