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--- |
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language: |
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- gl |
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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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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium Galician |
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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: mozilla-foundation/common_voice_13_0 gl |
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type: mozilla-foundation/common_voice_13_0 |
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config: gl |
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split: validation |
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args: gl |
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metrics: |
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- name: Wer |
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type: wer |
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value: 6.433092380590046 |
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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 Galician |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_13_0 gl dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2829 |
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- Wer: 6.4331 |
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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: 64 |
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- eval_batch_size: 32 |
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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: 10000 |
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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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| 0.0825 | 5.81 | 1000 | 0.1863 | 7.0141 | |
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| 0.0138 | 11.63 | 2000 | 0.2197 | 6.6873 | |
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| 0.0059 | 17.44 | 3000 | 0.2436 | 6.5922 | |
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| 0.0033 | 23.26 | 4000 | 0.2536 | 6.5040 | |
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| 0.002 | 29.07 | 5000 | 0.2606 | 6.6925 | |
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| 0.002 | 34.88 | 6000 | 0.2690 | 6.6890 | |
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| 0.001 | 40.7 | 7000 | 0.2734 | 6.5853 | |
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| 0.0007 | 46.51 | 8000 | 0.2821 | 6.4798 | |
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| 0.0006 | 52.33 | 9000 | 0.2829 | 6.4331 | |
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| 0.0007 | 58.14 | 10000 | 0.2847 | 6.4452 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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