whisper-small-dv / README.md
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metadata
language:
  - dv
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_13_0
model-index:
  - name: Whisper Small Dv - Sanchit Gandhi
    results: []

Whisper Small Dv - Sanchit Gandhi

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2343
  • eval_wer_ortho: 55.1013
  • eval_wer: 10.2236
  • eval_runtime: 4805.6402
  • eval_samples_per_second: 0.46
  • eval_steps_per_second: 0.029
  • epoch: 6.51
  • step: 2000

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.38.0.dev0
  • Pytorch 2.2.0+cu118
  • Datasets 2.17.0
  • Tokenizers 0.15.2