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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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model-index:
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- name: wav2vec2-xls-r-1b-portuguese-CORAA-3
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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-xls-r-1b-portuguese-CORAA-3
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0029
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- Wer: 0.6020
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 5000
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- training_steps: 30000
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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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| 2.0169 | 0.21 | 5000 | 1.9582 | 0.9283 |
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| 1.8561 | 0.42 | 10000 | 1.6144 | 0.8554 |
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| 1.6823 | 0.63 | 15000 | 1.4165 | 0.7710 |
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| 1.52 | 0.84 | 20000 | 1.2441 | 0.7289 |
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| 1.3757 | 1.05 | 25000 | 1.1061 | 0.6491 |
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| 1.2377 | 1.26 | 30000 | 1.0029 | 0.6020 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.3.dev0
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- Tokenizers 0.11.0
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