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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2651 |
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- Wer: 9.8186 |
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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: 16 |
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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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| 0.5952 | 0.13 | 30 | 0.3084 | 14.4155 | |
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| 0.3011 | 0.25 | 60 | 0.2771 | 17.2921 | |
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| 0.278 | 0.38 | 90 | 0.2652 | 12.2835 | |
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| 0.2685 | 0.51 | 120 | 0.2496 | 16.0334 | |
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| 0.2858 | 0.63 | 150 | 0.2387 | 11.5359 | |
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| 0.2544 | 0.76 | 180 | 0.2352 | 12.7537 | |
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| 0.2445 | 0.89 | 210 | 0.2288 | 10.5050 | |
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| 0.2361 | 1.01 | 240 | 0.2276 | 12.7537 | |
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| 0.1265 | 1.14 | 270 | 0.2309 | 12.4792 | |
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| 0.1338 | 1.27 | 300 | 0.2316 | 12.7041 | |
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| 0.1392 | 1.39 | 330 | 0.2285 | 10.8437 | |
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| 0.1415 | 1.52 | 360 | 0.2284 | 11.8630 | |
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| 0.1283 | 1.65 | 390 | 0.2266 | 10.9430 | |
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| 0.1311 | 1.77 | 420 | 0.2288 | 12.4880 | |
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| 0.1222 | 1.9 | 450 | 0.2201 | 10.8145 | |
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| 0.1168 | 2.03 | 480 | 0.2257 | 13.6386 | |
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| 0.0552 | 2.15 | 510 | 0.2346 | 12.0908 | |
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| 0.0613 | 2.28 | 540 | 0.2244 | 13.8138 | |
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| 0.0569 | 2.41 | 570 | 0.2306 | 10.9197 | |
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| 0.0587 | 2.53 | 600 | 0.2332 | 9.7515 | |
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| 0.0558 | 2.66 | 630 | 0.2352 | 11.8075 | |
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| 0.0601 | 2.78 | 660 | 0.2295 | 10.7590 | |
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| 0.0536 | 2.91 | 690 | 0.2294 | 10.9021 | |
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| 0.051 | 3.04 | 720 | 0.2353 | 11.0394 | |
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| 0.0244 | 3.16 | 750 | 0.2439 | 10.4845 | |
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| 0.0218 | 3.29 | 780 | 0.2483 | 11.0511 | |
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| 0.0218 | 3.42 | 810 | 0.2434 | 10.5517 | |
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| 0.0222 | 3.54 | 840 | 0.2510 | 9.8741 | |
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| 0.0209 | 3.67 | 870 | 0.2436 | 10.8466 | |
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| 0.0219 | 3.8 | 900 | 0.2476 | 10.4465 | |
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| 0.0228 | 3.92 | 930 | 0.2433 | 11.1767 | |
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| 0.0149 | 4.05 | 960 | 0.2499 | 10.1808 | |
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| 0.0079 | 4.18 | 990 | 0.2625 | 10.4290 | |
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| 0.0083 | 4.3 | 1020 | 0.2650 | 9.9909 | |
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| 0.0085 | 4.43 | 1050 | 0.2641 | 10.1194 | |
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| 0.0085 | 4.56 | 1080 | 0.2637 | 10.5750 | |
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| 0.0077 | 4.68 | 1110 | 0.2649 | 10.0055 | |
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| 0.0077 | 4.81 | 1140 | 0.2654 | 9.9734 | |
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| 0.0085 | 4.94 | 1170 | 0.2651 | 9.8186 | |
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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 2.14.6 |
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- Tokenizers 0.15.0 |
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