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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: lejonck/xlsr53-ptbr-2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: xlsr53-ptbr-3 |
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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: common_voice_17_0 |
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type: common_voice_17_0 |
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config: pt |
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split: None |
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args: pt |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.98989898989899 |
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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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# xlsr53-ptbr-3 |
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This model is a fine-tuned version of [lejonck/xlsr53-ptbr-2](https://huggingface.co/lejonck/xlsr53-ptbr-2) on the common_voice_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.7741 |
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- Wer: 0.9899 |
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- Cer: 10.8976 |
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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-06 |
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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: Use OptimizerNames.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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- num_epochs: 10 |
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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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| 5.1364 | 1.0 | 250 | 4.1358 | 0.9949 | 10.6432 | |
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| 5.0838 | 2.0 | 500 | 4.0543 | 0.9941 | 10.5248 | |
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| 4.3622 | 3.0 | 750 | 3.9937 | 0.9924 | 10.2184 | |
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| 4.1477 | 4.0 | 1000 | 3.9178 | 0.9924 | 10.2848 | |
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| 4.4121 | 5.0 | 1250 | 3.8755 | 0.9924 | 10.3005 | |
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| 3.9327 | 6.0 | 1500 | 3.8408 | 0.9907 | 10.4761 | |
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| 4.0681 | 7.0 | 1750 | 3.8321 | 0.9916 | 10.7547 | |
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| 3.9356 | 8.0 | 2000 | 3.7912 | 0.9916 | 10.5872 | |
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| 4.3374 | 9.0 | 2250 | 3.7739 | 0.9899 | 10.6934 | |
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| 3.7845 | 10.0 | 2500 | 3.7741 | 0.9899 | 10.8360 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
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