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--- |
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library_name: transformers |
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language: |
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- nl |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- procit009/nl_stt |
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metrics: |
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- wer |
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model-index: |
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- name: 'Whisper Small nl ' |
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results: [] |
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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 Small nl |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the procit009/nl_stt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2637 |
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- Wer: 14.1492 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 5 |
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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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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.2302 | 1.0 | 125 | 0.2444 | 14.2023 | |
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| 0.1247 | 2.0 | 250 | 0.2396 | 14.4464 | |
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| 0.036 | 3.0 | 375 | 0.2448 | 13.9582 | |
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| 0.0117 | 4.0 | 500 | 0.2549 | 14.0113 | |
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| 0.0049 | 5.0 | 625 | 0.2604 | 15.5928 | |
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| 0.0031 | 6.0 | 750 | 0.2637 | 14.1492 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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