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--- |
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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: whisper-medium-ft-no_noise |
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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-medium-ft-no_noise |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1833 |
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- Wer: 8.4650 |
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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: 16 |
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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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- num_epochs: 6 |
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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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| 0.2467 | 1.0 | 1385 | 0.1544 | 9.1986 | |
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| 0.0814 | 2.0 | 2770 | 0.1470 | 9.2175 | |
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| 0.0355 | 3.0 | 4155 | 0.1549 | 9.0670 | |
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| 0.0131 | 4.0 | 5540 | 0.1683 | 8.8224 | |
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| 0.0041 | 5.0 | 6925 | 0.1771 | 8.7848 | |
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| 0.0011 | 6.0 | 8310 | 0.1833 | 8.4650 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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