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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-train-dev-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/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: 80.77741112626394 |
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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-train-dev-1 |
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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: 1.0265 |
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- Wer: 80.7774 |
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- Cer: 205.4415 |
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- Decode Runtime: 296.9575 |
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- Wer Runtime: 0.2339 |
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- Cer Runtime: 0.5476 |
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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 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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| 1.9021 | 1.0357 | 7 | 1.3669 | 70.9647 | 206.0000 | 293.2787 | 0.2383 | 0.5705 | |
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| 1.248 | 2.0714 | 14 | 1.1785 | 90.1350 | 223.9722 | 301.9501 | 0.2377 | 0.5710 | |
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| 1.0696 | 3.1071 | 21 | 1.0601 | 84.5443 | 211.8357 | 295.8525 | 0.2329 | 0.5515 | |
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| 1.0339 | 4.1429 | 28 | 1.0265 | 80.7774 | 205.4415 | 296.9575 | 0.2339 | 0.5476 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.50.3 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
