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--- |
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language: |
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- hu |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- 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 Hu CV17 |
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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 17.0 |
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type: common_voice_11_0 |
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config: hu |
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split: None |
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args: hu |
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metrics: |
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- name: Wer |
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type: wer |
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value: 5.627038 |
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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 Hu CV17 |
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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 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0862 |
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- Wer Ortho: 6.536794 |
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- Wer: 5.627038 |
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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: 2.5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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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: 6000 |
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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 Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.3208 | 0.3298 | 250 | 0.3558 | 34.5839 | 31.0969 | |
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| 0.2542 | 0.6596 | 500 | 0.2683 | 27.2010 | 24.2218 | |
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| 0.2204 | 0.9894 | 750 | 0.2035 | 22.2962 | 19.4960 | |
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| 0.1301 | 1.3193 | 1000 | 0.1673 | 17.6683 | 15.2446 | |
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| 0.1171 | 1.6491 | 1250 | 0.1433 | 15.2445 | 12.9677 | |
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| 0.1075 | 1.9789 | 1500 | 0.1192 | 12.8658 | 10.7827 | |
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| 0.0492 | 2.3087 | 1750 | 0.1091 | 11.2489 | 9.1877 | |
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| 0.0491 | 2.6385 | 2000 | 0.1046 | 10.7582 | 9.0543 | |
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| 0.0472 | 2.9683 | 2250 | 0.0945 | 9.0750 | 7.5037 | |
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| 0.0203 | 3.2982 | 2500 | 0.0932 | 8.5873 | 7.2428 | |
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| 0.0188 | 3.6280 | 2750 | 0.0900 | 8.2019 | 6.9671 | |
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| 0.0183 | 3.9578 | 3000 | 0.0859 | 7.5154 | 6.4008 | |
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| 0.0068 | 4.2876 | 3250 | 0.0837 | 7.2052 | 6.1785 | |
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| 0.0064 | 4.6174 | 3500 | 0.0843 | 6.9613 | 6.0213 | |
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| 0.0061 | 4.9472 | 3750 | 0.0847 | 6.9674 | 5.9383 | |
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| 0.0025 | 5.2770 | 4000 | 0.0851 | 6.6994 | 5.7723 | |
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| 0.0023 | 5.6069 | 4250 | 0.0847 | 6.6331 | 5.6863 | |
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| 0.0022 | 5.9367 | 4500 | 0.0844 | 6.6211 | 5.7338 | |
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| 0.0014 | 6.2665 | 4750 | 0.0855 | 6.5789 | 5.6834 | |
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| 0.0011 | 6.5963 | 5000 | 0.0856 | 6.5609 | 5.6567 | |
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| 0.0012 | 6.9261 | 5250 | 0.0862 | 6.5368 | 5.6270 | |
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| 0.0009 | 7.2559 | 5500 | 0.0870 | 6.5699 | 5.6597 | |
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| 0.0009 | 7.5858 | 5750 | 0.0873 | 6.5639 | 5.6597 | |
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| 0.001 | 7.9156 | 6000 | 0.0873 | 6.5518 | 5.6389 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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