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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: facebook/wav2vec2-large-xlsr-53-portuguese |
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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-2 |
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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: 0.9949969678593087 |
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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-2 |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53-portuguese](https://huggingface.co/facebook/wav2vec2-large-xlsr-53-portuguese) 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: 3.9879 |
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- Wer: 0.9950 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 12.583 | 1.0 | 1250 | 8.3731 | 0.9930 | |
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| 8.4082 | 2.0 | 2500 | 6.7542 | 0.9977 | |
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| 9.7515 | 3.0 | 3750 | 6.4559 | 1.0044 | |
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| 10.5866 | 4.0 | 5000 | 6.1102 | 1.0047 | |
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| 9.6095 | 5.0 | 6250 | 5.5412 | 1.0012 | |
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| 7.9527 | 6.0 | 7500 | 4.7235 | 0.9961 | |
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| 6.1536 | 7.0 | 8750 | 4.2559 | 0.9971 | |
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| 6.3449 | 8.0 | 10000 | 4.1116 | 0.9956 | |
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| 5.4191 | 9.0 | 11250 | 4.0244 | 0.9955 | |
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| 4.8775 | 10.0 | 12500 | 3.9879 | 0.9951 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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