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--- |
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language: |
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- en |
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license: apache-2.0 |
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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 Small English |
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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_11_0 en |
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type: mozilla-foundation/common_voice_11_0 |
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config: en |
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split: test |
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args: en |
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metrics: |
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- name: Wer |
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type: wer |
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value: 12.021334704238024 |
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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 English |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3107 |
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- Wer: 12.0213 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 40000 |
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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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| 0.1577 | 0.06 | 2500 | 0.4077 | 16.2349 | |
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| 0.2244 | 0.12 | 5000 | 0.3698 | 14.7325 | |
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| 0.3231 | 0.19 | 7500 | 0.3434 | 13.7448 | |
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| 0.2536 | 0.25 | 10000 | 0.3406 | 13.4981 | |
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| 0.2234 | 0.31 | 12500 | 0.3510 | 14.1304 | |
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| 0.1989 | 0.38 | 15000 | 0.3388 | 13.6394 | |
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| 0.2449 | 0.44 | 17500 | 0.3394 | 13.4293 | |
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| 0.2302 | 0.5 | 20000 | 0.3198 | 12.5020 | |
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| 0.213 | 0.56 | 22500 | 0.3167 | 12.4904 | |
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| 0.2395 | 0.62 | 25000 | 0.3145 | 12.7533 | |
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| 0.1152 | 0.69 | 27500 | 0.3181 | 12.6087 | |
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| 0.0901 | 1.01 | 30000 | 0.3134 | 12.3240 | |
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| 0.1595 | 1.07 | 32500 | 0.3107 | 12.0213 | |
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| 0.1249 | 1.13 | 35000 | 0.3131 | 12.0869 | |
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| 0.1404 | 1.2 | 37500 | 0.3117 | 12.4635 | |
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| 0.1812 | 1.26 | 40000 | 0.3104 | 12.1415 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.1.dev0 |
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- Tokenizers 0.13.2 |
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