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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: facebook/mms-1b-all |
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tags: |
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- automatic-speech-recognition |
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- lozgen |
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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-1b-lozgen-male-model |
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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-1b-lozgen-male-model |
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the LOZGEN - LOZ dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3107 |
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- Wer: 0.3264 |
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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: 4 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 30.0 |
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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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| 6.7665 | 0.7634 | 100 | 3.1610 | 0.9990 | |
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| 2.6476 | 1.5267 | 200 | 2.2410 | 0.8953 | |
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| 1.5694 | 2.2901 | 300 | 0.5585 | 0.7599 | |
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| 0.6761 | 3.0534 | 400 | 0.4566 | 0.6319 | |
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| 0.5793 | 3.8168 | 500 | 0.4013 | 0.4822 | |
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| 0.5392 | 4.5802 | 600 | 0.3795 | 0.4554 | |
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| 0.4809 | 5.3435 | 700 | 0.3730 | 0.4333 | |
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| 0.4813 | 6.1069 | 800 | 0.3597 | 0.4230 | |
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| 0.4484 | 6.8702 | 900 | 0.3432 | 0.3925 | |
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| 0.4418 | 7.6336 | 1000 | 0.3391 | 0.3947 | |
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| 0.4322 | 8.3969 | 1100 | 0.3339 | 0.3841 | |
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| 0.3963 | 9.1603 | 1200 | 0.3294 | 0.3669 | |
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| 0.4104 | 9.9237 | 1300 | 0.3217 | 0.3635 | |
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| 0.3777 | 10.6870 | 1400 | 0.3177 | 0.3610 | |
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| 0.3785 | 11.4504 | 1500 | 0.3236 | 0.3539 | |
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| 0.3682 | 12.2137 | 1600 | 0.3144 | 0.3468 | |
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| 0.3654 | 12.9771 | 1700 | 0.3122 | 0.3529 | |
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| 0.3509 | 13.7405 | 1800 | 0.3088 | 0.3463 | |
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| 0.3412 | 14.5038 | 1900 | 0.3146 | 0.3347 | |
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| 0.3344 | 15.2672 | 2000 | 0.3108 | 0.3416 | |
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| 0.3351 | 16.0305 | 2100 | 0.3107 | 0.3264 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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