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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 Large 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: validation[:1000] |
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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: 4.816664144852979 |
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- name: CER |
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type: cer |
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value: 1.6052355927195898 |
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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 Large Portuguese |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) 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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- WER: 4.816664144852979 |
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- CER: 1.6052355927195898 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 2000 |
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- training_steps: 20000 |
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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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| 0.1051 | 1.24 | 1000 | 0.1501 | 5.1922 | 1.5979 | |
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| 0.0682 | 2.47 | 2000 | 0.1589 | 5.7523 | 1.8633 | |
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| 0.0489 | 3.71 | 3000 | 0.1631 | 5.3588 | 1.6819 | |
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| 0.0309 | 4.94 | 4000 | 0.1707 | 5.2831 | 1.6819 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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