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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: 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-3k-1024-28steps |
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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: 78.0237561916606 |
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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-3k-1024-28steps |
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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: 1.0370 |
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- Wer: 78.0238 |
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- Cer: 215.7449 |
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- Decode Runtime: 252.2954 |
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- Wer Runtime: 0.1988 |
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- Cer Runtime: 0.4668 |
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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: 32 |
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- total_train_batch_size: 1024 |
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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: 28 |
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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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| 2.6493 | 2.0357 | 7 | 1.3706 | 67.2148 | 209.8014 | 252.1421 | 0.2012 | 0.4813 | |
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| 1.1778 | 4.0714 | 14 | 1.1881 | 82.9771 | 226.7708 | 259.9550 | 0.1999 | 0.4853 | |
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| 0.9983 | 6.1071 | 21 | 1.0717 | 79.1953 | 220.4455 | 259.7244 | 0.2083 | 0.4860 | |
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| 1.9008 | 9.0357 | 28 | 1.0370 | 78.0238 | 215.7449 | 252.2954 | 0.1988 | 0.4668 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.48.2 |
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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 |
