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--- |
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library_name: peft |
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language: |
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- en |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- wft |
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- whisper |
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- automatic-speech-recognition |
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- audio |
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- speech |
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- generated_from_trainer |
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datasets: |
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- ntnu-smil/lttc-augmented-ft-1 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-turbo-augmented |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: ntnu-smil/lttc-augmented-ft-1 |
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type: ntnu-smil/lttc-augmented-ft-1 |
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metrics: |
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- type: wer |
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value: 32.36001374098248 |
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name: Wer |
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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-large-v3-turbo-augmented |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the ntnu-smil/lttc-augmented-ft-1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3566 |
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- Wer: 32.3600 |
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- Cer: 18.4747 |
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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: 0.0005 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 0.0483 | 1.0 | 190 | 1.2801 | 35.8640 | 20.7045 | |
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| 0.0503 | 2.0 | 380 | 1.3510 | 32.5318 | 20.3283 | |
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| 0.0033 | 3.0 | 570 | 1.2776 | 39.3336 | 22.9891 | |
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| 0.0007 | 4.0 | 760 | 1.3057 | 32.6692 | 18.6594 | |
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| 0.0002 | 5.0 | 950 | 1.3566 | 32.3600 | 18.4747 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
