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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: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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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/sandi2025-ds |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-sandi-7k-64-448steps |
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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/sandi2025-ds |
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type: ntnu-smil/sandi2025-ds |
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metrics: |
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- type: wer |
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value: 24.09465733000756 |
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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-sandi-7k-64-448steps |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the ntnu-smil/sandi2025-ds dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5722 |
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- Wer: 24.0947 |
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- Cer: 56.2387 |
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- Decode Runtime: 203.1841 |
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- Wer Runtime: 0.1735 |
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- Cer Runtime: 0.3276 |
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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: 7e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- training_steps: 448 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Decode Runtime | Wer Runtime | Cer Runtime | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:--------------:|:-----------:|:-----------:| |
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| 0.6419 | 1.0223 | 112 | 0.6663 | 20.0083 | 24.8032 | 187.4701 | 0.1653 | 0.2986 | |
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| 0.6651 | 2.0446 | 224 | 0.6117 | 20.0564 | 34.0018 | 189.8527 | 0.1717 | 0.3134 | |
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| 0.4682 | 3.0670 | 336 | 0.5826 | 21.0683 | 32.6385 | 190.6981 | 0.1750 | 0.3082 | |
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| 0.8059 | 4.0893 | 448 | 0.5722 | 24.0947 | 56.2387 | 203.1841 | 0.1735 | 0.3276 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.3 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
