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--- |
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language: |
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- en |
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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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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- jpdiazpardo/guturalScream_metalVocals |
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model-index: |
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- name: "Whisper Tiny Metal - Juan Pablo D\xEDaz" |
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results: [] |
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--- |
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# Whisper Tiny Metal - Juan Pablo Díaz |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Gutural Scream & Metal Vocals dataset. |
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## Model description |
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The model is inteded for automatic speech recognition in gutural and scream voice. The model was trained on vocals preprocessed using Spleeter source separtion algorithm. |
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## Intended uses & limitations |
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Check out a demo of the model in my 'Spaces' repository: jpdiazpardo/jpdiazpardo-whisper-tiny-metal |
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Load the dataset from huggingface in your notebook: |
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```python |
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from transformers import WhisperForConditionalGeneration, WhisperProcessor |
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model = WhisperForConditionalGeneration.from_pretrained("jpdiazpardo/whisper-tiny-metal") |
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processor = WhisperProcessor.from_pretrained("jpdiazpardo/whisper-tiny-metal") |
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``` |
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## Training and evaluation data |
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jpdiazpardo/guturalScream_metalVocals |
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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: 1 |
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- training_steps: 2 |
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### Training results |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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