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README.md
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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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- hf-asr-leaderboard
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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 PT with Common Voice 11
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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: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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args: 'config: pt, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 14.380154024398555
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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 PT with Common Voice 11
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 0.3487
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- Wer: 14.3802
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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: 8
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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: 16
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.1202 | 0.88 | 1000 | 0.2225 | 15.5847 |
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| 0.1024 | 1.76 | 2000 | 0.2160 | 15.0651 |
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| 0.0832 | 2.64 | 3000 | 0.2259 | 15.0923 |
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| 0.0081 | 3.51 | 4000 | 0.2519 | 14.7345 |
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| 0.0387 | 4.39 | 5000 | 0.2718 | 14.7311 |
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| 0.0039 | 5.27 | 6000 | 0.3031 | 14.5914 |
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| 0.001 | 6.15 | 7000 | 0.3238 | 14.5710 |
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| 0.0007 | 7.03 | 8000 | 0.3285 | 14.5113 |
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| 0.0009 | 7.91 | 9000 | 0.3467 | 14.3580 |
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| 0.0008 | 8.79 | 10000 | 0.3487 | 14.3802 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.12.1
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