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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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datasets: |
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- common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod14 |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: common_voice_13_0 |
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type: common_voice_13_0 |
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config: id |
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split: test |
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args: id |
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metrics: |
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- type: wer |
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value: 0.9999539085545722 |
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name: Wer |
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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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# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod14 |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9481 |
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- Wer: 1.0000 |
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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: 0.003 |
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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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- num_epochs: 12 |
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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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| 2.9078 | 1.0 | 556 | 2.9342 | 1.0 | |
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| 2.875 | 2.0 | 1112 | 2.8557 | 1.0 | |
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| 2.6528 | 3.0 | 1668 | 2.5665 | 1.0000 | |
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| 2.386 | 4.0 | 2224 | 2.3012 | 1.0000 | |
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| 2.3101 | 5.0 | 2780 | 2.1943 | 0.9999 | |
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| 2.2018 | 6.0 | 3336 | 2.1332 | 1.0 | |
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| 2.1752 | 7.0 | 3892 | 2.0791 | 1.0 | |
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| 2.1255 | 8.0 | 4448 | 2.0347 | 1.0 | |
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| 2.0975 | 9.0 | 5004 | 2.0129 | 1.0 | |
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| 2.0718 | 10.0 | 5560 | 1.9677 | 1.0 | |
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| 2.0771 | 11.0 | 6116 | 1.9591 | 1.0 | |
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| 2.0516 | 12.0 | 6672 | 1.9481 | 1.0000 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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