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README.md
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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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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-300m-teste4
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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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# wav2vec2-300m-teste4
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3276
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- Wer: 0.3489
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 4
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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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| 10.0237 | 0.49 | 100 | 4.2075 | 0.9792 |
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| 3.313 | 0.98 | 200 | 3.0232 | 0.9792 |
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| 2.9469 | 1.47 | 300 | 2.7591 | 0.9792 |
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| 1.4217 | 1.96 | 400 | 0.8397 | 0.6219 |
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| 0.5598 | 2.45 | 500 | 0.6085 | 0.5087 |
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| 0.4507 | 2.94 | 600 | 0.4512 | 0.4317 |
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| 0.2775 | 3.43 | 700 | 0.3839 | 0.3751 |
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| 0.2047 | 3.92 | 800 | 0.3276 | 0.3489 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.9.1+cu102
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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