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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- ASR |
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- Papiamentu |
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- Whisper |
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- Speech Recognition |
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- generated_from_trainer |
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datasets: |
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- sonnygeorge/papi_asr_corpus |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Papiamentu |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Papi ASR |
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type: sonnygeorge/papi_asr_corpus |
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metrics: |
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- name: Wer |
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type: wer |
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value: 30.326720259606166 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Tiny Papiamentu |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3275 |
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- Wer: 30.3267 |
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- Cer: 15.4823 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 3 |
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- training_steps: 200 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.1932 | 0.07 | 50 | 0.3766 | 42.1934 | 28.1746 | |
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| 0.2235 | 0.15 | 100 | 0.3513 | 33.0998 | 17.9645 | |
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| 0.2989 | 0.22 | 150 | 0.3337 | 30.2898 | 14.8959 | |
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| 0.3269 | 0.3 | 200 | 0.3275 | 30.3267 | 15.4823 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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