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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: 14.237288135593221 |
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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: 0.3023 |
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- Wer: 14.2373 |
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- Cer: 5.5236 |
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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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| 1.1113 | 0.92 | 500 | 0.3897 | 16.8721 | 6.7919 | |
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| 0.9009 | 1.84 | 1000 | 0.3318 | 15.9322 | 6.2310 | |
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| 0.7631 | 2.76 | 1500 | 0.3177 | 15.4854 | 5.8939 | |
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| 0.7163 | 3.68 | 2000 | 0.3130 | 14.8998 | 5.7972 | |
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| 0.6334 | 4.6 | 2500 | 0.3034 | 14.7920 | 5.6867 | |
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| 0.5746 | 5.52 | 3000 | 0.3029 | 14.6225 | 5.6397 | |
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| 0.5359 | 6.45 | 3500 | 0.3018 | 14.4838 | 5.5789 | |
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| 0.5058 | 7.37 | 4000 | 0.3010 | 14.5917 | 5.6839 | |
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| 0.4833 | 8.29 | 4500 | 0.3023 | 14.2373 | 5.5236 | |
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| 0.4398 | 9.21 | 5000 | 0.3005 | 14.4222 | 5.5844 | |
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| 0.4359 | 10.13 | 5500 | 0.2999 | 14.4838 | 5.6259 | |
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| 0.4036 | 11.05 | 6000 | 0.2995 | 14.2835 | 5.5623 | |
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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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