Whisper tiny Spanish

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 es dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4412
  • Wer: 21.4074

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: 32
  • 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: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.5354 2.01 1000 0.5196 25.5587
0.3328 4.01 2000 0.4889 24.5940
0.4702 6.02 3000 0.4589 22.8354
0.2854 8.02 4000 0.4451 21.6198
0.3537 10.03 5000 0.4412 21.4074

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
Downloads last month
16
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train arpagon/whisper-tiny-es

Evaluation results