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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 Tiny 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: 39.469591826496995 |
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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 Pl |
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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: 0.6919 |
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- Wer: 39.4696 |
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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: 64 |
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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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| 0.3647 | 1.05 | 500 | 0.6999 | 43.0430 | |
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| 0.2752 | 3.04 | 1000 | 0.6002 | 39.3275 | |
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| 0.2513 | 5.04 | 1500 | 0.5911 | 37.8643 | |
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| 0.1661 | 7.04 | 2000 | 0.6381 | 37.6887 | |
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| 0.154 | 9.03 | 2500 | 0.6157 | 37.9362 | |
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| 0.1126 | 11.03 | 3000 | 0.6319 | 38.6402 | |
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| 0.0763 | 13.02 | 3500 | 0.6539 | 38.9730 | |
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| 0.0729 | 15.02 | 4000 | 0.6583 | 38.9362 | |
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| 0.0778 | 17.02 | 4500 | 0.6653 | 39.6769 | |
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| 0.0698 | 19.01 | 5000 | 0.6919 | 39.4696 | |
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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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