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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 Tiny 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: 33.24473522796974 |
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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 with Common Voice 11 |
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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: 0.5205 |
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- Wer: 33.2447 |
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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: 1 |
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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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- training_steps: 16000 |
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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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| 0.3154 | 0.44 | 1000 | 0.4987 | 36.2196 | |
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| 0.3252 | 0.88 | 2000 | 0.4586 | 33.6213 | |
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| 0.1989 | 1.32 | 3000 | 0.4457 | 32.7455 | |
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| 0.3112 | 1.76 | 4000 | 0.4356 | 31.4097 | |
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| 0.1329 | 2.2 | 5000 | 0.4348 | 31.1559 | |
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| 0.1193 | 2.64 | 6000 | 0.4343 | 31.4046 | |
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| 0.0723 | 3.07 | 7000 | 0.4424 | 31.5869 | |
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| 0.0698 | 3.51 | 8000 | 0.4497 | 32.0827 | |
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| 0.0865 | 3.95 | 9000 | 0.4497 | 31.0945 | |
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| 0.0522 | 4.39 | 10000 | 0.4716 | 32.2190 | |
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| 0.0542 | 4.83 | 11000 | 0.4761 | 32.6944 | |
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| 0.061 | 5.27 | 12000 | 0.4983 | 32.0691 | |
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| 0.0459 | 5.71 | 13000 | 0.4985 | 32.4968 | |
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| 0.0338 | 6.15 | 14000 | 0.5123 | 33.3129 | |
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| 0.0492 | 6.59 | 15000 | 0.5217 | 33.2686 | |
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| 0.0194 | 7.03 | 16000 | 0.5205 | 33.2447 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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