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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: 0.2674 |
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- Wer: 8.9178 |
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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 | 0.3391 | 13.4234 | |
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| 0.3844 | 0.19 | 60 | 0.2936 | 16.0882 | |
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| 0.3245 | 0.28 | 90 | 0.2801 | 12.7436 | |
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| 0.2967 | 0.38 | 120 | 0.2602 | 12.8549 | |
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| 0.2526 | 0.47 | 150 | 0.2604 | 17.7364 | |
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| 0.2889 | 0.57 | 180 | 0.2466 | 13.2940 | |
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| 0.2378 | 0.66 | 210 | 0.2506 | 15.9919 | |
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| 0.237 | 0.76 | 240 | 0.2500 | 17.4176 | |
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| 0.2769 | 0.85 | 270 | 0.2340 | 15.0956 | |
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| 0.2579 | 0.95 | 300 | 0.2365 | 13.3482 | |
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| 0.1979 | 1.04 | 330 | 0.2461 | 15.3333 | |
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| 0.1336 | 1.14 | 360 | 0.2416 | 13.3331 | |
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| 0.1415 | 1.23 | 390 | 0.2380 | 14.3918 | |
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| 0.1307 | 1.33 | 420 | 0.2397 | 11.2879 | |
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| 0.1489 | 1.42 | 450 | 0.2389 | 11.0954 | |
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| 0.1311 | 1.52 | 480 | 0.2378 | 14.1783 | |
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| 0.1256 | 1.61 | 510 | 0.2333 | 12.2895 | |
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| 0.1283 | 1.71 | 540 | 0.2318 | 10.5901 | |
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| 0.1418 | 1.8 | 570 | 0.2317 | 14.6084 | |
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| 0.1346 | 1.9 | 600 | 0.2284 | 12.2564 | |
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| 0.1357 | 1.99 | 630 | 0.2212 | 10.5029 | |
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| 0.0641 | 2.09 | 660 | 0.2369 | 11.4894 | |
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| 0.0587 | 2.18 | 690 | 0.2383 | 9.7690 | |
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| 0.0585 | 2.28 | 720 | 0.2378 | 11.6037 | |
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| 0.0601 | 2.37 | 750 | 0.2409 | 11.6609 | |
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| 0.0645 | 2.47 | 780 | 0.2397 | 10.4397 | |
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| 0.0648 | 2.56 | 810 | 0.2430 | 10.2984 | |
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| 0.0616 | 2.66 | 840 | 0.2421 | 10.3946 | |
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| 0.0668 | 2.75 | 870 | 0.2351 | 13.2489 | |
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| 0.0553 | 2.85 | 900 | 0.2343 | 10.6563 | |
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| 0.0576 | 2.94 | 930 | 0.2359 | 10.2262 | |
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| 0.0468 | 3.04 | 960 | 0.2433 | 10.1329 | |
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| 0.0253 | 3.13 | 990 | 0.2496 | 10.0638 | |
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| 0.025 | 3.23 | 1020 | 0.2480 | 11.0864 | |
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| 0.0232 | 3.32 | 1050 | 0.2550 | 9.9916 | |
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| 0.0252 | 3.42 | 1080 | 0.2531 | 9.3269 | |
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| 0.0254 | 3.51 | 1110 | 0.2472 | 9.0381 | |
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| 0.0225 | 3.61 | 1140 | 0.2549 | 9.2908 | |
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| 0.0218 | 3.7 | 1170 | 0.2496 | 9.5404 | |
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| 0.0242 | 3.8 | 1200 | 0.2432 | 9.9284 | |
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| 0.0223 | 3.89 | 1230 | 0.2462 | 10.8277 | |
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| 0.0204 | 3.99 | 1260 | 0.2522 | 9.6637 | |
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| 0.0115 | 4.08 | 1290 | 0.2585 | 8.8426 | |
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| 0.0094 | 4.18 | 1320 | 0.2622 | 9.4923 | |
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| 0.0092 | 4.27 | 1350 | 0.2638 | 10.6773 | |
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| 0.009 | 4.37 | 1380 | 0.2640 | 10.0999 | |
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| 0.009 | 4.46 | 1410 | 0.2664 | 10.0036 | |
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| 0.0087 | 4.56 | 1440 | 0.2666 | 9.9705 | |
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| 0.0075 | 4.65 | 1470 | 0.2672 | 9.8622 | |
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| 0.0077 | 4.75 | 1500 | 0.2658 | 9.1254 | |
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| 0.0069 | 4.84 | 1530 | 0.2667 | 9.0442 | |
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| 0.0081 | 4.94 | 1560 | 0.2674 | 8.9178 | |
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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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