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--- |
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language: |
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- pt |
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license: apache-2.0 |
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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_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Portuguese |
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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_11_0 pt |
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type: mozilla-foundation/common_voice_11_0 |
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config: pt |
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split: test |
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args: pt |
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metrics: |
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- name: Wer |
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type: wer |
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value: 11.972265023112481 |
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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 Small Portuguese |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 pt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2738 |
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- Wer: 11.9723 |
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- Cer: 4.8273 |
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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: 5e-06 |
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- train_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 1000 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| |
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| 0.5235 | 0.92 | 500 | 0.3605 | 15.4083 | 6.1205 | |
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| 0.3839 | 1.84 | 1000 | 0.3034 | 14.2835 | 5.6010 | |
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| 0.2828 | 2.76 | 1500 | 0.2852 | 13.4977 | 5.1727 | |
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| 0.2367 | 3.68 | 2000 | 0.2768 | 12.9122 | 5.2280 | |
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| 0.1832 | 4.6 | 2500 | 0.2728 | 12.2496 | 4.9157 | |
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| 0.1549 | 5.52 | 3000 | 0.2730 | 12.0647 | 4.8384 | |
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| 0.1318 | 6.45 | 3500 | 0.2757 | 12.0955 | 4.8135 | |
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| 0.1077 | 7.37 | 4000 | 0.2738 | 11.9723 | 4.8273 | |
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| 0.0969 | 8.29 | 4500 | 0.2784 | 12.1572 | 4.9212 | |
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| 0.0813 | 9.21 | 5000 | 0.2805 | 12.3112 | 5.0207 | |
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| 0.0751 | 10.13 | 5500 | 0.2831 | 12.0801 | 4.8494 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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