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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-speech-small
    results: []

whisper-speech-small

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: 0.0021
  • Wer: 0.3861

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 250
  • training_steps: 3000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0095 0.2 250 0.0042 0.7239
0.0068 0.4 500 0.0051 1.0135
0.0045 0.6 750 0.0021 0.3861
0.0056 0.8 1000 0.0018 1.5927
0.0021 1.0 1250 0.0023 8.8803
0.0081 1.2 1500 0.0033 2.0270
0.0056 1.4 1750 0.0023 6.1293
0.0028 1.6 2000 0.0017 0.8687
0.0064 1.81 2250 0.0011 0.8687
0.0005 2.01 2500 0.0014 2.0270
0.0015 2.21 2750 0.0013 1.4961
0.0012 2.41 3000 0.0014 1.8822

Framework versions

  • Transformers 4.30.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3