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sonnygeorge
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whisper-tiny-papi

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
ASR
Papiamentu
Whisper
Speech Recognition
Generated from Trainer
Eval Results
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whisper-tiny-papi / README.md
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metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - ASR
  - Papiamentu
  - Whisper
  - Speech Recognition
  - generated_from_trainer
datasets:
  - sonnygeorge/papi_asr_corpus
metrics:
  - wer
model-index:
  - name: Whisper Tiny Papiamentu
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Papi ASR
          type: sonnygeorge/papi_asr_corpus
        metrics:
          - name: Wer
            type: wer
            value: 34.88457850873958

Whisper Tiny Papiamentu

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

  • Loss: 0.3812
  • Wer: 34.8846
  • Cer: 17.4600

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 3
  • training_steps: 200
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.3142 0.07 50 0.4591 47.0684 29.9418
0.331 0.15 100 0.4139 37.9527 19.3123
0.3721 0.22 150 0.3897 34.8403 16.6445
0.3802 0.3 200 0.3812 34.8846 17.4600

Framework versions

  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0