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--- |
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language: |
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- id |
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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_12_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper small ID - Augmented |
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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_12_0 |
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type: mozilla-foundation/common_voice_12_0 |
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config: id |
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split: test |
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args: id |
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metrics: |
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- name: Wer |
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type: wer |
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value: 5.697759963469393 |
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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 ID - Augmented |
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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_12_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1483 |
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- Wer: 5.6978 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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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: 100 |
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- training_steps: 1000 |
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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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| 0.3979 | 0.77 | 200 | 0.2141 | 9.7635 | |
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| 0.2625 | 1.54 | 400 | 0.1705 | 7.3636 | |
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| 0.1398 | 2.31 | 600 | 0.1551 | 6.9636 | |
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| 0.0666 | 3.07 | 800 | 0.1678 | 6.2043 | |
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| 0.0411 | 3.84 | 1000 | 0.1483 | 5.6978 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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