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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-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Hu CV18 |
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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 18.0 |
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type: fleurs |
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config: hu_hu |
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split: None |
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args: hu_hu |
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metrics: |
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- name: Wer |
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type: wer |
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value: 36.61815521981487 |
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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 Base Hu CV18 |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 18.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9673 |
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- Wer Ortho: 43.0437 |
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- Wer: 36.6182 |
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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: 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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- num_epochs: 5 |
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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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| 0.4737 | 0.1723 | 250 | 0.9877 | 61.4013 | 58.1242 | |
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| 0.3609 | 0.3446 | 500 | 0.9450 | 56.6701 | 52.1893 | |
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| 0.2894 | 0.5169 | 750 | 0.9007 | 53.2487 | 48.7805 | |
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| 0.2652 | 0.6892 | 1000 | 0.8833 | 52.5755 | 47.6039 | |
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| 0.225 | 0.8615 | 1250 | 0.8573 | 49.4478 | 45.3212 | |
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| 0.1414 | 1.0338 | 1500 | 0.8702 | 48.7835 | 43.8570 | |
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| 0.1361 | 1.2061 | 1750 | 0.8836 | 48.6700 | 43.0146 | |
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| 0.1297 | 1.3784 | 2000 | 0.8782 | 48.1922 | 42.8923 | |
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| 0.1285 | 1.5507 | 2250 | 0.8695 | 47.0576 | 41.8178 | |
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| 0.1241 | 1.7229 | 2500 | 0.8498 | 46.3403 | 40.9186 | |
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| 0.1198 | 1.8952 | 2750 | 0.8658 | 46.1928 | 40.0787 | |
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| 0.0552 | 2.0675 | 3000 | 0.8843 | 45.9684 | 39.5667 | |
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| 0.0608 | 2.2398 | 3250 | 0.8747 | 45.2347 | 39.5112 | |
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| 0.0576 | 2.4121 | 3500 | 0.8752 | 45.0557 | 39.7067 | |
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| 0.0629 | 2.5844 | 3750 | 0.8949 | 45.2297 | 39.2073 | |
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| 0.0613 | 2.7567 | 4000 | 0.9124 | 45.4137 | 39.0811 | |
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| 0.0542 | 2.9290 | 4250 | 0.8890 | 44.1443 | 38.4127 | |
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| 0.0248 | 3.1013 | 4500 | 0.9102 | 44.2388 | 37.9159 | |
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| 0.0253 | 3.2736 | 4750 | 0.9119 | 43.5908 | 37.3130 | |
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| 0.0248 | 3.4459 | 5000 | 0.9342 | 44.2325 | 37.8515 | |
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| 0.0238 | 3.6182 | 5250 | 0.9300 | 44.0018 | 37.6712 | |
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| 0.0241 | 3.7905 | 5500 | 0.9281 | 43.6614 | 37.3710 | |
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| 0.0231 | 3.9628 | 5750 | 0.9352 | 43.6715 | 37.7469 | |
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| 0.0101 | 4.1351 | 6000 | 0.9549 | 43.3387 | 37.2046 | |
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| 0.0083 | 4.3074 | 6250 | 0.9580 | 43.2795 | 36.9889 | |
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| 0.0082 | 4.4797 | 6500 | 0.9571 | 43.2152 | 37.0759 | |
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| 0.0087 | 4.6520 | 6750 | 0.9592 | 42.6290 | 36.3912 | |
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| 0.0077 | 4.8243 | 7000 | 0.9675 | 42.9139 | 36.5437 | |
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| 0.0076 | 4.9966 | 7250 | 0.9673 | 43.0437 | 36.6182 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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