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: 30.326720259606166

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: 0.3275
Wer: 30.3267
Cer: 15.4823

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
0.1932	0.07	50	0.3766	42.1934	28.1746
0.2235	0.15	100	0.3513	33.0998	17.9645
0.2989	0.22	150	0.3337	30.2898	14.8959
0.3269	0.3	200	0.3275	30.3267	15.4823

Framework versions

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