Edit model card

Whisper Small pt - thiagoms

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:

  • Loss: 0.2549
  • Wer Ortho: 266.0002
  • Wer: 302.8604

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.2453 0.28 500 0.2549 266.0002 302.8604

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.0+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month
7
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.

Model tree for thiagoms7/whisper-small-pt

Finetuned
(1835)
this model

Dataset used to train thiagoms7/whisper-small-pt

Evaluation results