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--- |
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library_name: transformers |
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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-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- RodrigoLimaRFL/nurc-sp_pseudo_labelled |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper-Tiny-PTBR |
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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: nurc-sp_pseudo_labelled |
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type: RodrigoLimaRFL/nurc-sp_pseudo_labelled |
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metrics: |
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- name: Wer |
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type: wer |
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value: 59.38036802234333 |
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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-Tiny-PTBR |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the nurc-sp_pseudo_labelled dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0137 |
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- Wer: 59.3804 |
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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: 16 |
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- eval_batch_size: 8 |
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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: 5000 |
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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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| 1.2522 | 0.5094 | 1000 | 1.1713 | 74.6895 | |
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| 1.0397 | 1.0188 | 2000 | 1.0796 | 68.5537 | |
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| 0.9879 | 1.5283 | 3000 | 1.0420 | 62.4686 | |
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| 0.9334 | 2.0377 | 4000 | 1.0195 | 59.7845 | |
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| 0.9834 | 2.5471 | 5000 | 1.0137 | 59.3804 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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