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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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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 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_13_0 pt |
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type: mozilla-foundation/common_voice_13_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: 6.331942299477541 |
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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 Portuguese |
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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 pt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1753 |
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- Wer: 6.3319 |
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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-06 |
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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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| 0.0999 | 3.52 | 1000 | 0.1753 | 6.3319 | |
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| 0.0436 | 7.04 | 2000 | 0.2027 | 6.5521 | |
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| 0.0113 | 10.56 | 3000 | 0.3135 | 6.7361 | |
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| 0.0041 | 14.08 | 4000 | 0.3616 | 6.8889 | |
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| 0.0026 | 17.61 | 5000 | 0.3908 | 7.0565 | |
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| 0.0016 | 21.13 | 6000 | 0.4078 | 7.1419 | |
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| 0.0013 | 24.65 | 7000 | 0.4227 | 7.1534 | |
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| 0.001 | 28.17 | 8000 | 0.4343 | 7.1764 | |
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| 0.0008 | 31.69 | 9000 | 0.4424 | 7.2076 | |
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| 0.0008 | 35.21 | 10000 | 0.4464 | 7.2224 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.15.1 |
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