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--- |
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language: |
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- pt |
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license: cc-by-4.0 |
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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 Tiny PT |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: Common Voice 11.0 |
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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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- type: wer |
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value: 29.11 |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: pt_br |
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split: test |
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metrics: |
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- type: wer |
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value: 26.36 |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: mozilla-foundation/common_voice_9_0 |
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type: mozilla-foundation/common_voice_9_0 |
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config: pt |
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split: test |
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metrics: |
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- type: wer |
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value: 28.68 |
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name: WER |
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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 PT |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6077 |
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- Wer: 29.9844 |
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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: 64 |
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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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| 0.4143 | 1.04 | 500 | 0.5325 | 32.7399 | |
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| 0.2693 | 3.03 | 1000 | 0.4718 | 29.4867 | |
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| 0.1724 | 5.01 | 1500 | 0.4758 | 28.7218 | |
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| 0.0849 | 7.0 | 2000 | 0.5070 | 29.2211 | |
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| 0.0659 | 8.04 | 2500 | 0.5223 | 29.3169 | |
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| 0.0539 | 10.03 | 3000 | 0.5402 | 30.1458 | |
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| 0.0376 | 12.02 | 3500 | 0.5755 | 29.9995 | |
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| 0.0217 | 14.0 | 4000 | 0.6067 | 29.6565 | |
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| 0.0168 | 15.04 | 4500 | 0.6082 | 29.8162 | |
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| 0.0205 | 17.03 | 5000 | 0.6077 | 29.9844 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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