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--- |
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language: |
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- gn |
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license: apache-2.0 |
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base_model: glob-asr/wav2vec2-large-xls-r-300m-guarani-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_1 |
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metrics: |
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- wer |
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model-index: |
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- name: Common Voice 16 |
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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 16 |
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type: mozilla-foundation/common_voice_16_1 |
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config: gn |
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split: test |
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args: gn |
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metrics: |
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- name: Wer |
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type: wer |
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value: 43.723554301833566 |
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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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# Common Voice 16 |
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This model is a fine-tuned version of [glob-asr/wav2vec2-large-xls-r-300m-guarani-small](https://huggingface.co/glob-asr/wav2vec2-large-xls-r-300m-guarani-small) on the Common Voice 16 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3202 |
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- Wer: 43.7236 |
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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-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 500 |
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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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| 0.4174 | 1.0101 | 100 | 0.3535 | 47.6728 | |
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| 0.3411 | 2.0202 | 200 | 0.3387 | 46.3188 | |
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| 0.2905 | 3.0303 | 300 | 0.3278 | 45.7546 | |
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| 0.2591 | 4.0404 | 400 | 0.3214 | 44.6544 | |
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| 0.251 | 5.0505 | 500 | 0.3202 | 43.7236 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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