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whisper-v2-EastFlemish
golesheed/whisper-v2-EastFlemish
whisper-v2-EastFlemish is a automatic speech recognition model from golesheed. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 5, 2024
- Updated
- Sep 6, 2024
- SHA
- ec1f323f
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Whisper Large V2
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4356
- Wer: 17.9459
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8564 | 0.0676 | 15 | 0.6152 | 41.0055 |
| 0.5012 | 0.1351 | 30 | 0.4878 | 48.5720 |
| 0.4816 | 0.2027 | 45 | 0.4620 | 32.3907 |
| 0.415 | 0.2703 | 60 | 0.4401 | 44.3115 |
| 0.3973 | 0.3378 | 75 | 0.4212 | 36.4375 |
| 0.3987 | 0.4054 | 90 | 0.4094 | 29.3866 |
| 0.4059 | 0.4730 | 105 | 0.3966 | 26.1762 |
| 0.4126 | 0.5405 | 120 | 0.3882 | 28.4659 |
| 0.3785 | 0.6081 | 135 | 0.3864 | 22.7352 |
| 0.3652 | 0.6757 | 150 | 0.3845 | 35.2448 |
| 0.4099 | 0.7432 | 165 | 0.3776 | 29.4185 |
| 0.4101 | 0.8108 | 180 | 0.3709 | 31.4269 |
| 0.352 | 0.8784 | 195 | 0.3687 | 24.2766 |
| 0.3604 | 0.9459 | 210 | 0.3648 | 21.7113 |
| 0.3642 | 1.0135 | 225 | 0.3622 | 21.3025 |
| 0.1693 | 1.0811 | 240 | 0.3698 | 27.0501 |
| 0.1622 | 1.1486 | 255 | 0.3728 | 27.2526 |
| 0.1862 | 1.2162 | 270 | 0.3562 | 21.5538 |
| 0.1815 | 1.2838 | 285 | 0.3647 | 23.6784 |
| 0.2084 | 1.3514 | 300 | 0.3611 | 20.9556 |
| 0.1777 | 1.4189 | 315 | 0.3610 | 22.6921 |
| 0.1842 | 1.4865 | 330 | 0.3591 | 22.3939 |
| 0.178 | 1.5541 | 345 | 0.3545 | 20.8168 |
| 0.1965 | 1.6216 | 360 | 0.3489 | 23.0390 |
| 0.1931 | 1.6892 | 375 | 0.3485 | 22.2176 |
| 0.1886 | 1.7568 | 390 | 0.3452 | 20.1268 |
| 0.1936 | 1.8243 | 405 | 0.3417 | 20.4849 |
| 0.19 | 1.8919 | 420 | 0.3474 | 22.2889 |
| 0.1818 | 1.9595 | 435 | 0.3449 | 22.0545 |
| 0.1445 | 2.0270 | 450 | 0.3605 | 19.4892 |
| 0.0879 | 2.0946 | 465 | 0.3753 | 19.5136 |
| 0.0921 | 2.1622 | 480 | 0.3722 | 19.8455 |
| 0.091 | 2.2297 | 495 | 0.3705 | 20.2955 |
| 0.0936 | 2.2973 | 510 | 0.3670 | 22.8215 |
| 0.0854 | 2.3649 | 525 | 0.3629 | 22.5327 |
| 0.0938 | 2.4324 | 540 | 0.3550 | 19.5061 |
| 0.0843 | 2.5 | 555 | 0.3674 | 21.2219 |
| 0.0879 | 2.5676 | 570 | 0.3599 | 18.8966 |
| 0.0802 | 2.6351 | 585 | 0.3668 | 18.1109 |
| 0.0868 | 2.7027 | 600 | 0.3563 | 18.5197 |
| 0.09 | 2.7703 | 615 | 0.3601 | 19.7236 |
| 0.0844 | 2.8378 | 630 | 0.3583 | 18.9829 |
| 0.0814 | 2.9054 | 645 | 0.3647 | 19.2135 |
| 0.0834 | 2.9730 | 660 | 0.3555 | 19.6298 |
| 0.0642 | 3.0405 | 675 | 0.3672 | 18.4484 |
| 0.0403 | 3.1081 | 690 | 0.4052 | 18.9698 |
| 0.0397 | 3.1757 | 705 | 0.3852 | 18.4747 |
| 0.0363 | 3.2432 | 720 | 0.3983 | 17.8334 |
| 0.0361 | 3.3108 | 735 | 0.3859 | 18.2965 |
| 0.0365 | 3.3784 | 750 | 0.3986 | 19.9486 |
| 0.032 | 3.4459 | 765 | 0.4001 | 18.6753 |
| 0.0374 | 3.5135 | 780 | 0.3902 | 18.3528 |
| 0.0337 | 3.5811 | 795 | 0.3980 | 18.4016 |
| 0.0327 | 3.6486 | 810 | 0.3962 | 17.6252 |
| 0.0357 | 3.7162 | 825 | 0.3935 | 18.5197 |
| 0.0359 | 3.7838 | 840 | 0.3877 | 18.3978 |
| 0.0342 | 3.8514 | 855 | 0.3870 | 18.9848 |
| 0.0368 | 3.9189 | 870 | 0.3939 | 17.9721 |
| 0.0341 | 3.9865 | 885 | 0.3928 | 18.1409 |
| 0.0164 | 4.0541 | 900 | 0.4037 | 17.4077 |
| 0.0141 | 4.1216 | 915 | 0.4316 | 18.3509 |
| 0.0113 | 4.1892 | 930 | 0.4305 | 16.9895 |
| 0.014 | 4.2568 | 945 | 0.4285 | 17.5071 |
| 0.0131 | 4.3243 | 960 | 0.4271 | 17.7621 |
| 0.0156 | 4.3919 | 975 | 0.4292 | 19.2998 |
| 0.0118 | 4.4595 | 990 | 0.4334 | 18.8704 |
| 0.0104 | 4.5270 | 1005 | 0.4332 | 17.7827 |
| 0.0107 | 4.5946 | 1020 | 0.4327 | 19.0148 |
| 0.009 | 4.6622 | 1035 | 0.4346 | 17.9084 |
| 0.0091 | 4.7297 | 1050 | 0.4384 | 17.7827 |
| 0.0107 | 4.7973 | 1065 | 0.4359 | 18.4203 |
| 0.0114 | 4.8649 | 1080 | 0.4348 | 17.8465 |
| 0.0092 | 4.9324 | 1095 | 0.4354 | 18.0415 |
| 0.0095 | 5.0 | 1110 | 0.4356 | 17.9459 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- nl
- Created
- Sep 5, 2024
- Updated
- Sep 6, 2024