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--- |
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language: |
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- nl |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Large V2 |
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results: [] |
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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 Large V2 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2801 |
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- Wer: 9.8223 |
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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: 3e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 8 |
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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: 20 |
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- num_epochs: 5 |
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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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| 0.5984 | 0.09 | 30 | 0.3378 | 18.2664 | |
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| 0.3397 | 0.19 | 60 | 0.3041 | 17.6296 | |
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| 0.3062 | 0.28 | 90 | 0.2931 | 16.5683 | |
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| 0.2995 | 0.38 | 120 | 0.2821 | 12.3463 | |
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| 0.2783 | 0.47 | 150 | 0.2799 | 12.5440 | |
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| 0.2946 | 0.57 | 180 | 0.2626 | 12.3870 | |
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| 0.2615 | 0.66 | 210 | 0.2652 | 11.8054 | |
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| 0.2456 | 0.76 | 240 | 0.2654 | 12.1282 | |
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| 0.2446 | 0.85 | 270 | 0.2579 | 12.3172 | |
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| 0.2836 | 0.95 | 300 | 0.2494 | 12.5149 | |
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| 0.1951 | 1.04 | 330 | 0.2531 | 13.0267 | |
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| 0.1233 | 1.14 | 360 | 0.2517 | 11.3402 | |
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| 0.1219 | 1.23 | 390 | 0.2512 | 11.8926 | |
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| 0.144 | 1.33 | 420 | 0.2510 | 11.6775 | |
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| 0.1268 | 1.42 | 450 | 0.2509 | 11.9624 | |
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| 0.1366 | 1.52 | 480 | 0.2496 | 13.8350 | |
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| 0.134 | 1.61 | 510 | 0.2467 | 11.1279 | |
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| 0.139 | 1.71 | 540 | 0.2465 | 12.2823 | |
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| 0.1449 | 1.8 | 570 | 0.2428 | 13.7158 | |
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| 0.1257 | 1.9 | 600 | 0.2400 | 12.9452 | |
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| 0.1319 | 1.99 | 630 | 0.2335 | 13.2738 | |
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| 0.066 | 2.09 | 660 | 0.2525 | 13.3291 | |
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| 0.0517 | 2.18 | 690 | 0.2553 | 12.6225 | |
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| 0.0595 | 2.28 | 720 | 0.2530 | 13.2273 | |
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| 0.0638 | 2.37 | 750 | 0.2533 | 10.6452 | |
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| 0.0612 | 2.47 | 780 | 0.2565 | 12.9191 | |
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| 0.0633 | 2.56 | 810 | 0.2512 | 10.7935 | |
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| 0.056 | 2.66 | 840 | 0.2549 | 13.8263 | |
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| 0.0614 | 2.75 | 870 | 0.2526 | 11.1803 | |
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| 0.062 | 2.85 | 900 | 0.2555 | 10.2585 | |
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| 0.0586 | 2.94 | 930 | 0.2456 | 10.5900 | |
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| 0.0462 | 3.04 | 960 | 0.2538 | 10.5754 | |
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| 0.0225 | 3.13 | 990 | 0.2629 | 11.0320 | |
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| 0.0244 | 3.23 | 1020 | 0.2659 | 10.0695 | |
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| 0.0246 | 3.32 | 1050 | 0.2651 | 9.8863 | |
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| 0.0217 | 3.42 | 1080 | 0.2652 | 10.0550 | |
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| 0.0222 | 3.51 | 1110 | 0.2625 | 10.7063 | |
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| 0.023 | 3.61 | 1140 | 0.2660 | 10.7470 | |
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| 0.0236 | 3.7 | 1170 | 0.2651 | 9.9183 | |
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| 0.0214 | 3.8 | 1200 | 0.2642 | 9.9386 | |
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| 0.0208 | 3.89 | 1230 | 0.2635 | 9.9619 | |
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| 0.021 | 3.99 | 1260 | 0.2674 | 9.9794 | |
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| 0.0127 | 4.08 | 1290 | 0.2700 | 9.6391 | |
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| 0.0096 | 4.18 | 1320 | 0.2783 | 9.6217 | |
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| 0.0082 | 4.27 | 1350 | 0.2822 | 9.6799 | |
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| 0.009 | 4.37 | 1380 | 0.2799 | 9.7729 | |
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| 0.0077 | 4.46 | 1410 | 0.2806 | 9.9154 | |
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| 0.007 | 4.56 | 1440 | 0.2803 | 9.7526 | |
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| 0.0078 | 4.65 | 1470 | 0.2805 | 9.7264 | |
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| 0.0083 | 4.75 | 1500 | 0.2804 | 9.8427 | |
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| 0.0085 | 4.84 | 1530 | 0.2807 | 9.8543 | |
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| 0.0081 | 4.94 | 1560 | 0.2801 | 9.8223 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.0 |
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