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whisper-small-es

Automatic Speech Recognition
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whisper
whisper-event
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whisper-small-es / README.md
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metadata
language:
  - es
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: whisper-small-es - Ari
    results: []

whisper-small-es - Ari

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:

  • eval_loss: 0.2218
  • eval_wer: 8.6904
  • eval_runtime: 4999.6051
  • eval_samples_per_second: 3.104
  • eval_steps_per_second: 0.388
  • epoch: 0.13
  • step: 1000

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: 64
  • 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: 7500
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2