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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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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_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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- type: wer |
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value: 13.058509783761204 |
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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: en_us |
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split: test |
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metrics: |
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- type: wer |
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value: 9.27 |
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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 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: 0.3269 |
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- Wer: 13.0585 |
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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: 10000 |
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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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| 0.1537 | 0.1 | 1000 | 0.4405 | 17.9276 | |
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| 0.2378 | 0.2 | 2000 | 0.4009 | 15.9888 | |
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| 0.1709 | 0.3 | 3000 | 0.3852 | 15.4953 | |
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| 0.2792 | 0.4 | 4000 | 0.3699 | 14.8758 | |
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| 0.2172 | 0.5 | 5000 | 0.3577 | 14.2660 | |
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| 0.3616 | 0.6 | 6000 | 0.4042 | 18.1846 | |
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| 0.2456 | 0.7 | 7000 | 0.3375 | 13.3091 | |
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| 0.2505 | 0.8 | 8000 | 0.3395 | 13.6227 | |
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| 0.2563 | 0.9 | 9000 | 0.3305 | 13.1408 | |
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| 0.2395 | 1.0 | 10000 | 0.3269 | 13.0585 | |
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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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