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--- |
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language: |
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- ko |
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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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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- arrow |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-kor3_de_all |
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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: whisper-kor3_de_all |
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type: arrow |
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config: default |
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split: train |
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args: 'config: ko, split: valid' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 17.590945836701696 |
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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-kor3_de_all |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor3_de_all dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2446 |
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- Wer: 17.5909 |
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- Cer: 7.8655 |
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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: 16 |
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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: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.2987 | 0.05 | 100 | 0.2906 | 19.7898 | 9.3285 | |
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| 0.2658 | 0.09 | 200 | 0.2795 | 19.3371 | 9.6942 | |
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| 0.2748 | 0.14 | 300 | 0.2774 | 19.4341 | 8.9980 | |
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| 0.279 | 0.18 | 400 | 0.2767 | 22.5061 | 10.6901 | |
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| 0.2634 | 0.23 | 500 | 0.2837 | 19.7736 | 8.9319 | |
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| 0.2816 | 0.28 | 600 | 0.2826 | 19.8868 | 9.2315 | |
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| 0.2698 | 0.32 | 700 | 0.2826 | 19.8222 | 8.9759 | |
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| 0.2728 | 0.37 | 800 | 0.2794 | 19.9030 | 8.9187 | |
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| 0.2951 | 0.42 | 900 | 0.2752 | 20.1778 | 9.2271 | |
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| 0.2853 | 0.46 | 1000 | 0.2754 | 19.6281 | 9.3637 | |
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| 0.264 | 0.51 | 1100 | 0.2769 | 19.8222 | 9.1434 | |
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| 0.2684 | 0.55 | 1200 | 0.2745 | 19.8545 | 9.1390 | |
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| 0.286 | 0.6 | 1300 | 0.2731 | 19.6766 | 8.9627 | |
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| 0.2636 | 0.65 | 1400 | 0.2725 | 19.3048 | 8.7512 | |
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| 0.262 | 0.69 | 1500 | 0.2690 | 19.6281 | 8.9848 | |
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| 0.262 | 0.74 | 1600 | 0.2698 | 19.9515 | 9.1610 | |
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| 0.2788 | 0.78 | 1700 | 0.2693 | 19.7251 | 9.2491 | |
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| 0.2606 | 0.83 | 1800 | 0.2636 | 18.7065 | 8.6807 | |
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| 0.2601 | 0.88 | 1900 | 0.2626 | 18.9329 | 8.9231 | |
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| 0.249 | 0.92 | 2000 | 0.2649 | 19.0137 | 8.7777 | |
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| 0.2594 | 0.97 | 2100 | 0.2598 | 18.0922 | 8.1519 | |
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| 0.1764 | 1.02 | 2200 | 0.2565 | 17.8658 | 8.1123 | |
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| 0.1603 | 1.06 | 2300 | 0.2556 | 18.3508 | 8.2401 | |
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| 0.1572 | 1.11 | 2400 | 0.2561 | 19.1269 | 9.3549 | |
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| 0.1536 | 1.15 | 2500 | 0.2564 | 18.1568 | 8.1872 | |
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| 0.1719 | 1.2 | 2600 | 0.2543 | 18.0598 | 8.2665 | |
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| 0.1543 | 1.25 | 2700 | 0.2557 | 17.9143 | 8.1431 | |
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| 0.1636 | 1.29 | 2800 | 0.2519 | 17.8173 | 8.0991 | |
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| 0.1672 | 1.34 | 2900 | 0.2507 | 18.3670 | 8.6851 | |
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| 0.1519 | 1.39 | 3000 | 0.2528 | 18.8844 | 8.8834 | |
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| 0.1582 | 1.43 | 3100 | 0.2502 | 17.9143 | 8.1387 | |
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| 0.164 | 1.48 | 3200 | 0.2507 | 18.1083 | 8.3238 | |
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| 0.1464 | 1.52 | 3300 | 0.2487 | 18.1407 | 8.2973 | |
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| 0.1492 | 1.57 | 3400 | 0.2473 | 18.0760 | 8.2929 | |
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| 0.149 | 1.62 | 3500 | 0.2467 | 17.9143 | 8.1343 | |
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| 0.1592 | 1.66 | 3600 | 0.2457 | 17.9628 | 8.2753 | |
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| 0.1533 | 1.71 | 3700 | 0.2449 | 17.8173 | 7.9933 | |
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| 0.1597 | 1.75 | 3800 | 0.2454 | 17.8011 | 8.1475 | |
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| 0.1293 | 1.8 | 3900 | 0.2448 | 17.6233 | 7.8655 | |
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| 0.1499 | 1.85 | 4000 | 0.2446 | 17.5909 | 7.8655 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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