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--- |
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library_name: transformers |
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language: |
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- sh |
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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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- DigitalUmuganda/Afrivoice |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Shona - 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: Afrivoice_shona |
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type: DigitalUmuganda/Afrivoice |
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args: 'config: sh, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 48.36969726420137 |
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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 Shona - 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 Afrivoice_shona dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0076 |
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- Wer: 48.3697 |
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- Cer: 11.1051 |
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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: 8 |
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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: 500 |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 1.9327 | 1.0 | 110 | 1.2601 | 74.2137 | 18.0635 | |
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| 0.96 | 2.0 | 220 | 0.7862 | 54.7179 | 11.5259 | |
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| 0.5827 | 3.0 | 330 | 0.6185 | 47.9531 | 11.3006 | |
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| 0.3706 | 4.0 | 440 | 0.5590 | 40.7639 | 8.3464 | |
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| 0.2221 | 5.0 | 550 | 0.5628 | 40.1897 | 8.2400 | |
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| 0.1173 | 6.0 | 660 | 0.5671 | 42.4114 | 10.2366 | |
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| 0.06 | 7.0 | 770 | 0.5760 | 40.6141 | 10.4056 | |
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| 0.033 | 8.0 | 880 | 0.6091 | 37.2941 | 7.6798 | |
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| 0.0194 | 9.0 | 990 | 0.6050 | 36.9945 | 7.6016 | |
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| 0.0127 | 10.0 | 1100 | 0.6379 | 36.8198 | 7.7549 | |
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| 0.0081 | 11.0 | 1210 | 0.6320 | 36.7449 | 7.5014 | |
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| 0.0069 | 12.0 | 1320 | 0.6457 | 36.7948 | 7.3950 | |
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| 0.0048 | 13.0 | 1430 | 0.6605 | 37.1193 | 7.5484 | |
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| 0.0043 | 14.0 | 1540 | 0.6602 | 36.5701 | 7.7925 | |
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| 0.0027 | 15.0 | 1650 | 0.6601 | 36.1957 | 7.6391 | |
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| 0.0019 | 16.0 | 1760 | 0.6659 | 35.3220 | 7.1321 | |
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| 0.0017 | 17.0 | 1870 | 0.6741 | 35.8213 | 7.2667 | |
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| 0.0023 | 18.0 | 1980 | 0.6773 | 36.6201 | 8.1492 | |
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| 0.0018 | 19.0 | 2090 | 0.6804 | 35.5966 | 7.1759 | |
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| 0.0037 | 20.0 | 2200 | 0.6929 | 35.5467 | 7.3011 | |
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| 0.0035 | 21.0 | 2310 | 0.6816 | 36.1208 | 7.3762 | |
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| 0.0028 | 22.0 | 2420 | 0.6940 | 35.5716 | 7.2198 | |
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| 0.0017 | 23.0 | 2530 | 0.6873 | 35.9710 | 7.2980 | |
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| 0.0023 | 24.0 | 2640 | 0.7152 | 36.1208 | 7.3387 | |
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| 0.004 | 25.0 | 2750 | 0.6968 | 35.7963 | 7.3575 | |
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| 0.0032 | 26.0 | 2860 | 0.7012 | 37.3190 | 7.5984 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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