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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: mms-meta/mms-zeroshot-300m |
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tags: |
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- automatic-speech-recognition |
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- BembaSpeech |
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- mms |
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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: mms-zeroshot-300m-bem |
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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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# mms-zeroshot-300m-bem |
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This model is a fine-tuned version of [mms-meta/mms-zeroshot-300m](https://huggingface.co/mms-meta/mms-zeroshot-300m) on the BEMBASPEECH - BEM dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1787 |
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- Wer: 0.3583 |
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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: 0.0003 |
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- train_batch_size: 4 |
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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: 10.0 |
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- mixed_precision_training: Native AMP |
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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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| 4.6629 | 0.1778 | 500 | 0.3540 | 0.5421 | |
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| 0.6579 | 0.3556 | 1000 | 0.2588 | 0.4883 | |
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| 0.591 | 0.5334 | 1500 | 0.2552 | 0.4720 | |
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| 0.5467 | 0.7112 | 2000 | 0.2370 | 0.4542 | |
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| 0.5405 | 0.8890 | 2500 | 0.2376 | 0.4556 | |
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| 0.5027 | 1.0669 | 3000 | 0.2234 | 0.4307 | |
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| 0.5001 | 1.2447 | 3500 | 0.2176 | 0.4213 | |
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| 0.4962 | 1.4225 | 4000 | 0.2199 | 0.4205 | |
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| 0.486 | 1.6003 | 4500 | 0.2145 | 0.4167 | |
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| 0.47 | 1.7781 | 5000 | 0.2159 | 0.4169 | |
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| 0.4557 | 1.9559 | 5500 | 0.2099 | 0.4135 | |
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| 0.4514 | 2.1337 | 6000 | 0.2091 | 0.4100 | |
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| 0.4539 | 2.3115 | 6500 | 0.2038 | 0.4016 | |
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| 0.439 | 2.4893 | 7000 | 0.2041 | 0.4025 | |
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| 0.4378 | 2.6671 | 7500 | 0.2002 | 0.3916 | |
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| 0.4347 | 2.8450 | 8000 | 0.1961 | 0.3911 | |
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| 0.4278 | 3.0228 | 8500 | 0.1995 | 0.3923 | |
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| 0.4117 | 3.2006 | 9000 | 0.1959 | 0.3892 | |
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| 0.4149 | 3.3784 | 9500 | 0.1926 | 0.3859 | |
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| 0.4148 | 3.5562 | 10000 | 0.1958 | 0.3804 | |
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| 0.4009 | 3.7340 | 10500 | 0.1930 | 0.3790 | |
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| 0.4174 | 3.9118 | 11000 | 0.1955 | 0.3823 | |
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| 0.4012 | 4.0896 | 11500 | 0.1950 | 0.3812 | |
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| 0.3974 | 4.2674 | 12000 | 0.1934 | 0.3773 | |
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| 0.3943 | 4.4452 | 12500 | 0.1845 | 0.3720 | |
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| 0.4071 | 4.6230 | 13000 | 0.1920 | 0.3839 | |
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| 0.3968 | 4.8009 | 13500 | 0.1867 | 0.3743 | |
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| 0.3795 | 4.9787 | 14000 | 0.1872 | 0.3713 | |
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| 0.3856 | 5.1565 | 14500 | 0.1869 | 0.3737 | |
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| 0.3706 | 5.3343 | 15000 | 0.1903 | 0.3766 | |
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| 0.3784 | 5.5121 | 15500 | 0.1861 | 0.3683 | |
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| 0.3777 | 5.6899 | 16000 | 0.1866 | 0.3713 | |
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| 0.3861 | 5.8677 | 16500 | 0.1812 | 0.3637 | |
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| 0.3711 | 6.0455 | 17000 | 0.1842 | 0.3667 | |
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| 0.374 | 6.2233 | 17500 | 0.1815 | 0.3618 | |
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| 0.3539 | 6.4011 | 18000 | 0.1815 | 0.3647 | |
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| 0.3625 | 6.5789 | 18500 | 0.1785 | 0.3589 | |
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| 0.3599 | 6.7568 | 19000 | 0.1795 | 0.3621 | |
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| 0.3654 | 6.9346 | 19500 | 0.1822 | 0.3624 | |
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| 0.3693 | 7.1124 | 20000 | 0.1792 | 0.3612 | |
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| 0.3519 | 7.2902 | 20500 | 0.1800 | 0.3675 | |
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| 0.3553 | 7.4680 | 21000 | 0.1808 | 0.3640 | |
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| 0.3451 | 7.6458 | 21500 | 0.1808 | 0.3620 | |
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| 0.3558 | 7.8236 | 22000 | 0.1794 | 0.3610 | |
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| 0.3595 | 8.0014 | 22500 | 0.1772 | 0.3576 | |
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| 0.3404 | 8.1792 | 23000 | 0.1788 | 0.3581 | |
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| 0.3593 | 8.3570 | 23500 | 0.1782 | 0.3580 | |
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| 0.3471 | 8.5349 | 24000 | 0.1797 | 0.3606 | |
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| 0.3497 | 8.7127 | 24500 | 0.1778 | 0.3588 | |
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| 0.3398 | 8.8905 | 25000 | 0.1775 | 0.3583 | |
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| 0.3444 | 9.0683 | 25500 | 0.1796 | 0.3586 | |
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| 0.3366 | 9.2461 | 26000 | 0.1785 | 0.3574 | |
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| 0.3434 | 9.4239 | 26500 | 0.1781 | 0.3592 | |
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| 0.3426 | 9.6017 | 27000 | 0.1786 | 0.3593 | |
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| 0.3496 | 9.7795 | 27500 | 0.1787 | 0.3590 | |
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| 0.334 | 9.9573 | 28000 | 0.1788 | 0.3588 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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