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whisper-tiny-1

Automatic Speech Recognition
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metadata
library_name: transformers
language:
  - es
license: apache-2.0
base_model: openai/whisper-small
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: Whisper Small Es - Sanchit Gandhi
    results: []

Whisper Small Es - Sanchit Gandhi

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0587
  • Cer: 97.1842

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: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.0341 8.0 1000 0.0731 74.1248
0.0002 16.0 2000 0.0569 96.7275
0.0001 24.0 3000 0.0587 97.1842

Framework versions

  • Transformers 4.47.0.dev0
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.1.dev0
  • Tokenizers 0.20.3