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whisper-tiny-hi-commonvoice17

Automatic Speech Recognition
PEFT
TensorBoard
Safetensors
English
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metadata
library_name: peft
language:
  - en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
model-index:
  - name: Whisper Tiny (English) - Jarrett Er
    results: []
metrics:
  - wer
pipeline_tag: automatic-speech-recognition

Whisper Tiny (English) - Jarrett Er

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 17.0 dataset.

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 500
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.14.0
  • Transformers 4.48.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.1.dev0
  • Tokenizers 0.21.0