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--- |
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language: |
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- pl |
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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 PL |
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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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config: pl |
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split: test |
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args: pl |
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metrics: |
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- name: Wer |
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type: wer |
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value: 14.49425614099627 |
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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 PL |
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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: 0.4444 |
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- Wer: 14.4943 |
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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: 5000 |
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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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| 0.1639 | 0.1 | 500 | 0.3290 | 16.6413 | |
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| 0.0674 | 1.1 | 1000 | 0.3224 | 15.1782 | |
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| 0.0335 | 2.09 | 1500 | 0.3186 | 14.5394 | |
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| 0.0161 | 3.09 | 2000 | 0.3445 | 15.0026 | |
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| 0.0101 | 4.08 | 2500 | 0.3777 | 14.5260 | |
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| 0.0064 | 5.08 | 3000 | 0.3977 | 14.6264 | |
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| 0.0036 | 6.08 | 3500 | 0.4621 | 14.6180 | |
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| 0.0025 | 7.07 | 4000 | 0.4639 | 14.5193 | |
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| 0.0017 | 8.07 | 4500 | 0.4971 | 14.4725 | |
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| 0.0017 | 9.07 | 5000 | 0.4444 | 14.4943 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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