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--- |
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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-medium |
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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: openai/whisper-medium |
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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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# openai/whisper-medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the pphuc25/EngMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3174 |
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- Wer: 16.8776 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 100 |
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- num_epochs: 20 |
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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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| 0.5925 | 1.0 | 323 | 0.7699 | 21.1498 | |
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| 0.3437 | 2.0 | 646 | 0.8143 | 36.4451 | |
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| 0.1856 | 3.0 | 969 | 0.8772 | 20.0422 | |
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| 0.123 | 4.0 | 1292 | 0.8963 | 22.3629 | |
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| 0.0975 | 5.0 | 1615 | 0.9559 | 20.4641 | |
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| 0.0746 | 6.0 | 1938 | 0.9947 | 20.7806 | |
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| 0.0594 | 7.0 | 2261 | 1.0422 | 18.5654 | |
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| 0.0405 | 8.0 | 2584 | 1.1209 | 18.9873 | |
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| 0.0352 | 9.0 | 2907 | 1.1780 | 23.7869 | |
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| 0.0313 | 10.0 | 3230 | 1.1915 | 19.5148 | |
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| 0.0213 | 11.0 | 3553 | 1.2019 | 16.8776 | |
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| 0.0154 | 12.0 | 3876 | 1.1514 | 17.8797 | |
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| 0.0047 | 13.0 | 4199 | 1.1908 | 19.6730 | |
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| 0.0091 | 14.0 | 4522 | 1.1906 | 18.7764 | |
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| 0.0017 | 15.0 | 4845 | 1.2421 | 17.9852 | |
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| 0.0012 | 16.0 | 5168 | 1.2742 | 18.0907 | |
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| 0.0003 | 17.0 | 5491 | 1.3038 | 17.5105 | |
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| 0.0003 | 18.0 | 5814 | 1.3091 | 17.4578 | |
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| 0.0002 | 19.0 | 6137 | 1.3155 | 16.9304 | |
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| 0.0 | 20.0 | 6460 | 1.3174 | 16.8776 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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