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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-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- divakaivan/glaswegian_audio |
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metrics: |
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- wer |
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model-index: |
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- name: Glaswegian_Whisper |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Glaswegian audio |
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type: divakaivan/glaswegian_audio |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 40.5394016013485 |
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--- |
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Fine-tuned using [this notebook](https://colab.research.google.com/drive/1CCRr0rXts18cios1zaIZv7SxhCub-gu-?usp=sharing) |
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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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# Glaswegian_Whisper |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Glaswegian audio dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4788 |
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- Wer: 40.5394 |
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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: 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: 500 |
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- training_steps: 4000 |
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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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| 0.0084 | 16.3934 | 1000 | 1.2802 | 38.5588 | |
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| 0.0019 | 32.7869 | 2000 | 1.4141 | 39.0223 | |
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| 0.0002 | 49.1803 | 3000 | 1.4553 | 40.3287 | |
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| 0.0001 | 65.5738 | 4000 | 1.4788 | 40.5394 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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