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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-tiny |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny |
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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 Tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Personal - Mimic Recording dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3751 |
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- Wer: 0.1311 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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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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| 0.5941 | 1.0 | 293 | 0.4660 | 0.2291 | |
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| 0.2868 | 2.0 | 586 | 0.4858 | 0.2960 | |
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| 0.1692 | 3.0 | 879 | 0.4274 | 0.2219 | |
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| 0.0971 | 4.0 | 1172 | 0.4568 | 0.2014 | |
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| 0.0562 | 5.0 | 1465 | 0.4665 | 0.1820 | |
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| 0.0291 | 6.0 | 1758 | 0.4346 | 0.1801 | |
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| 0.0124 | 7.0 | 2051 | 0.3950 | 0.1456 | |
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| 0.0024 | 8.0 | 2344 | 0.3777 | 0.1359 | |
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| 0.0006 | 9.0 | 2637 | 0.3756 | 0.1323 | |
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| 0.0002 | 10.0 | 2930 | 0.3751 | 0.1311 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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