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--- |
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library_name: transformers |
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language: |
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- bem |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- BIG-C/BEMBA |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Bemba - Beijuka Bruno |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: BEMBA |
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type: BIG-C/BEMBA |
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args: 'config: bemba, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.3520218625902045 |
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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 Small Bemba - Beijuka Bruno |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the BEMBA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3722 |
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- Wer: 0.3520 |
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- Cer: 0.1020 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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_ratio: 0.025 |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
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|:-------------:|:-----:|:------:|:------:|:---------------:|:------:| |
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| 0.9576 | 1.0 | 12851 | 0.1144 | 0.5736 | 0.4270 | |
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| 0.5631 | 2.0 | 25702 | 0.1223 | 0.4973 | 0.3961 | |
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| 0.4616 | 3.0 | 38553 | 0.0990 | 0.4716 | 0.3559 | |
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| 0.3579 | 4.0 | 51404 | 0.1020 | 0.4812 | 0.3573 | |
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| 0.2534 | 5.0 | 64255 | 0.0969 | 0.5052 | 0.3472 | |
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| 0.1588 | 6.0 | 77106 | 0.0969 | 0.5568 | 0.3525 | |
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| 0.0922 | 7.0 | 89957 | 0.1019 | 0.6221 | 0.3587 | |
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| 0.0567 | 8.0 | 102808 | 0.0984 | 0.6833 | 0.3532 | |
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| 0.0407 | 9.0 | 115659 | 0.0981 | 0.7381 | 0.3509 | |
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| 0.0324 | 10.0 | 128510 | 0.7663 | 0.3504 | 0.0989 | |
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| 0.027 | 11.0 | 141361 | 0.8045 | 0.3505 | 0.0992 | |
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| 0.0235 | 12.0 | 154212 | 0.8415 | 0.3456 | 0.0974 | |
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| 0.0207 | 13.0 | 167063 | 0.8597 | 0.3445 | 0.0973 | |
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| 0.0184 | 14.0 | 179914 | 0.8730 | 0.3490 | 0.0986 | |
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| 0.0165 | 15.0 | 192765 | 0.9096 | 0.3439 | 0.0980 | |
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| 0.0154 | 16.0 | 205616 | 0.9381 | 0.3458 | 0.0979 | |
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| 0.0137 | 17.0 | 218467 | 0.9630 | 0.3468 | 0.0959 | |
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| 0.0129 | 18.0 | 231318 | 0.9761 | 0.3434 | 0.0983 | |
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| 0.0117 | 19.0 | 244169 | 0.9945 | 0.3434 | 0.0976 | |
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| 0.0109 | 20.0 | 257020 | 1.0103 | 0.3437 | 0.0967 | |
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| 0.0099 | 21.0 | 269871 | 1.0291 | 0.3466 | 0.0969 | |
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| 0.0097 | 22.0 | 282722 | 1.0475 | 0.3439 | 0.0976 | |
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| 0.0089 | 23.0 | 295573 | 1.0743 | 0.3380 | 0.0950 | |
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| 0.0084 | 24.0 | 308424 | 1.0840 | 0.3387 | 0.0958 | |
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| 0.0075 | 25.0 | 321275 | 1.1084 | 0.3396 | 0.0966 | |
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| 0.0074 | 26.0 | 334126 | 1.1091 | 0.3397 | 0.0986 | |
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| 0.0069 | 27.0 | 346977 | 1.1218 | 0.3385 | 0.0972 | |
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| 0.0063 | 28.0 | 359828 | 1.1461 | 0.3386 | 0.0963 | |
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| 0.0062 | 29.0 | 372679 | 1.1644 | 0.3402 | 0.0960 | |
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| 0.0058 | 30.0 | 385530 | 1.1612 | 0.3365 | 0.0952 | |
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| 0.0055 | 31.0 | 398381 | 1.1764 | 0.3354 | 0.0953 | |
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| 0.0052 | 32.0 | 411232 | 1.1749 | 0.3352 | 0.0957 | |
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| 0.0051 | 33.0 | 424083 | 1.1910 | 0.3399 | 0.0976 | |
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| 0.0046 | 34.0 | 436934 | 1.1948 | 0.3357 | 0.0958 | |
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| 0.0044 | 35.0 | 449785 | 1.2069 | 0.3359 | 0.0955 | |
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| 0.0043 | 36.0 | 462636 | 1.2228 | 0.3377 | 0.0957 | |
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| 0.004 | 37.0 | 475487 | 1.2419 | 0.3333 | 0.0952 | |
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| 0.0038 | 38.0 | 488338 | 1.2410 | 0.3354 | 0.0960 | |
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| 0.0036 | 39.0 | 501189 | 1.2430 | 0.3356 | 0.0952 | |
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| 0.0034 | 40.0 | 514040 | 1.2685 | 0.3358 | 0.0957 | |
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| 0.0033 | 41.0 | 526891 | 1.2591 | 0.3354 | 0.0962 | |
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| 0.003 | 42.0 | 539742 | 1.2770 | 0.3362 | 0.0952 | |
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| 0.003 | 43.0 | 552593 | 1.2896 | 0.3327 | 0.0950 | |
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| 0.0028 | 44.0 | 565444 | 1.2898 | 0.3314 | 0.0945 | |
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| 0.0026 | 45.0 | 578295 | 1.3017 | 0.3322 | 0.0946 | |
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| 0.0025 | 46.0 | 591146 | 1.3097 | 0.3307 | 0.0940 | |
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| 0.0024 | 47.0 | 603997 | 1.3177 | 0.3322 | 0.0941 | |
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| 0.0023 | 48.0 | 616848 | 1.3218 | 0.3285 | 0.0933 | |
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| 0.0021 | 49.0 | 629699 | 1.3259 | 0.3323 | 0.0945 | |
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| 0.0022 | 50.0 | 642550 | 1.3539 | 0.3301 | 0.0931 | |
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| 0.0019 | 51.0 | 655401 | 1.3442 | 0.3291 | 0.0941 | |
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| 0.0018 | 52.0 | 668252 | 1.3369 | 0.3324 | 0.0950 | |
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| 0.0018 | 53.0 | 681103 | 1.3489 | 0.3305 | 0.0941 | |
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| 0.0017 | 54.0 | 693954 | 1.3617 | 0.3294 | 0.0932 | |
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| 0.0015 | 55.0 | 706805 | 1.3495 | 0.3319 | 0.0946 | |
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| 0.0014 | 56.0 | 719656 | 1.3689 | 0.3311 | 0.0952 | |
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| 0.0013 | 57.0 | 732507 | 1.3870 | 0.3302 | 0.0933 | |
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| 0.0013 | 58.0 | 745358 | 1.3848 | 0.3289 | 0.0928 | |
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### Framework versions |
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- Transformers 4.45.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.0.0 |
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- Tokenizers 0.20.0 |
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