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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: 0.2647 |
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- Wer: 9.9296 |
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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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| 0.6181 | 0.09 | 30 | 0.3443 | 17.6297 | |
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| 0.3296 | 0.19 | 60 | 0.2921 | 13.0722 | |
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| 0.3165 | 0.28 | 90 | 0.2711 | 11.8459 | |
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| 0.2775 | 0.38 | 120 | 0.2677 | 11.4110 | |
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| 0.2696 | 0.47 | 150 | 0.2570 | 12.1474 | |
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| 0.2558 | 0.57 | 180 | 0.2544 | 13.9623 | |
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| 0.272 | 0.66 | 210 | 0.2448 | 19.9809 | |
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| 0.2696 | 0.76 | 240 | 0.2415 | 12.5359 | |
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| 0.2668 | 0.85 | 270 | 0.2392 | 11.7154 | |
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| 0.2558 | 0.95 | 300 | 0.2318 | 12.3097 | |
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| 0.2108 | 1.04 | 330 | 0.2418 | 15.0639 | |
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| 0.1339 | 1.14 | 360 | 0.2409 | 13.8318 | |
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| 0.1326 | 1.23 | 390 | 0.2394 | 16.9165 | |
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| 0.1357 | 1.33 | 420 | 0.2362 | 11.4371 | |
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| 0.1278 | 1.42 | 450 | 0.2377 | 12.3503 | |
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| 0.1485 | 1.52 | 480 | 0.2291 | 12.3097 | |
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| 0.1263 | 1.61 | 510 | 0.2381 | 12.2547 | |
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| 0.1269 | 1.71 | 540 | 0.2328 | 10.3528 | |
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| 0.1437 | 1.8 | 570 | 0.2284 | 11.7415 | |
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| 0.1314 | 1.9 | 600 | 0.2270 | 11.4661 | |
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| 0.1282 | 1.99 | 630 | 0.2334 | 11.8807 | |
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| 0.0646 | 2.09 | 660 | 0.2414 | 11.3617 | |
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| 0.0655 | 2.18 | 690 | 0.2439 | 11.9503 | |
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| 0.0658 | 2.28 | 720 | 0.2406 | 11.4197 | |
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| 0.0573 | 2.37 | 750 | 0.2375 | 11.0747 | |
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| 0.0584 | 2.47 | 780 | 0.2364 | 10.7848 | |
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| 0.0639 | 2.56 | 810 | 0.2351 | 11.2197 | |
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| 0.0537 | 2.66 | 840 | 0.2380 | 10.0803 | |
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| 0.0538 | 2.75 | 870 | 0.2359 | 10.1180 | |
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| 0.0551 | 2.85 | 900 | 0.2347 | 10.1847 | |
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| 0.0613 | 2.94 | 930 | 0.2354 | 10.7616 | |
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| 0.0453 | 3.04 | 960 | 0.2399 | 13.9130 | |
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| 0.0248 | 3.13 | 990 | 0.2456 | 11.4139 | |
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| 0.0246 | 3.23 | 1020 | 0.2553 | 11.3936 | |
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| 0.0229 | 3.32 | 1050 | 0.2477 | 11.3878 | |
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| 0.0198 | 3.42 | 1080 | 0.2486 | 10.2137 | |
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| 0.0229 | 3.51 | 1110 | 0.2491 | 10.2514 | |
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| 0.021 | 3.61 | 1140 | 0.2478 | 10.4311 | |
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| 0.0212 | 3.7 | 1170 | 0.2482 | 10.4398 | |
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| 0.0218 | 3.8 | 1200 | 0.2474 | 10.8892 | |
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| 0.0225 | 3.89 | 1230 | 0.2442 | 10.3731 | |
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| 0.0209 | 3.99 | 1260 | 0.2439 | 10.5326 | |
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| 0.0105 | 4.08 | 1290 | 0.2544 | 10.2948 | |
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| 0.0089 | 4.18 | 1320 | 0.2614 | 10.3238 | |
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| 0.008 | 4.27 | 1350 | 0.2627 | 10.0223 | |
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| 0.0079 | 4.37 | 1380 | 0.2652 | 10.2456 | |
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| 0.0083 | 4.46 | 1410 | 0.2646 | 10.1267 | |
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| 0.0073 | 4.56 | 1440 | 0.2619 | 10.0136 | |
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| 0.0075 | 4.65 | 1470 | 0.2633 | 9.7266 | |
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| 0.0068 | 4.75 | 1500 | 0.2648 | 9.8281 | |
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| 0.0074 | 4.84 | 1530 | 0.2645 | 9.8194 | |
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| 0.0079 | 4.94 | 1560 | 0.2647 | 9.9296 | |
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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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