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--- |
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library_name: transformers |
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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-rebalanced-1-split |
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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-score-5-rebalanced-1 |
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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-rebalanced-1-split |
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type: ntnu-smil/lttc-rebalanced-1-split |
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metrics: |
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- type: wer |
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value: 39.732142857142854 |
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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-score-5-rebalanced-1 |
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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-rebalanced-1-split dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9922 |
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- Wer: 39.7321 |
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- Cer: 25.9187 |
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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: 4 |
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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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| 0.0378 | 1.0 | 18 | 3.6518 | 40.3159 | 26.1279 | |
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| 0.0389 | 2.0 | 36 | 3.8285 | 40.0412 | 26.6444 | |
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| 0.0023 | 3.0 | 54 | 4.0319 | 40.4876 | 26.5529 | |
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| 0.0021 | 4.0 | 72 | 3.9976 | 39.3544 | 25.5656 | |
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| 0.0004 | 5.0 | 90 | 3.9922 | 39.7321 | 25.9187 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.3 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
