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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-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: 73.82367281180885 |
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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-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: 1.0275 |
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- Wer: 73.8237 |
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- Cer: 203.1654 |
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- Decode Runtime: 257.7123 |
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- Wer Runtime: 0.2072 |
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- Cer Runtime: 0.4935 |
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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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| 1.9026 | 1.0357 | 7 | 1.3670 | 70.5577 | 206.9010 | 266.1791 | 0.2147 | 0.5053 | |
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| 1.2477 | 2.0714 | 14 | 1.1783 | 86.2572 | 223.6346 | 268.9910 | 0.2241 | 0.5015 | |
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| 1.07 | 3.1071 | 21 | 1.0605 | 78.7713 | 211.1141 | 262.5822 | 0.2186 | 0.5076 | |
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| 1.0348 | 4.1429 | 28 | 1.0275 | 73.8237 | 203.1654 | 257.7123 | 0.2072 | 0.4935 | |
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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 |
