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whisper_finetuned_ver2

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metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper_finetuned_ver2
    results: []

whisper_finetuned_ver2

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

  • Loss: 0.0048
  • Cer: 0.5262
  • Wer: 0.4840

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: 32
  • 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: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer Wer
0.0 35.71 1000 0.0047 0.5496 0.5227
0.0001 71.43 2000 0.0048 0.5262 0.4840
0.0 107.14 3000 0.0051 0.5964 0.5615
0.0 142.86 4000 0.0053 0.6080 0.5808
0.0 178.57 5000 0.0054 0.6080 0.5808

Framework versions

  • Transformers 4.40.0.dev0
  • Pytorch 2.0.1
  • Datasets 2.18.0
  • Tokenizers 0.15.2