Yanna Torres
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End of training
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README.md
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---
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-xls-r-1b-portuguese
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: wav2vec2-xls-r-1b-portuguese-casa-civil-030124
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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-casa-civil-030124
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-xls-r-1b-portuguese](https://huggingface.co/jonatasgrosman/wav2vec2-xls-r-1b-portuguese) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5479
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- Wer: 0.1310
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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: 30
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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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| 28.5913 | 2.0 | 100 | 1.2903 | 0.1460 |
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| 1.1869 | 4.0 | 200 | 0.6083 | 0.1537 |
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| 0.8173 | 6.0 | 300 | 0.7054 | 0.2217 |
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| 0.7882 | 8.0 | 400 | 0.7377 | 0.2711 |
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| 0.6783 | 10.0 | 500 | 0.7785 | 0.2321 |
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| 0.5541 | 12.0 | 600 | 0.6881 | 0.2394 |
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| 0.5104 | 14.0 | 700 | 0.7285 | 0.2270 |
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| 0.344 | 16.0 | 800 | 0.6114 | 0.1991 |
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| 0.304 | 18.0 | 900 | 0.5559 | 0.1906 |
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| 0.2315 | 20.0 | 1000 | 0.6833 | 0.1727 |
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| 0.2144 | 22.0 | 1100 | 0.5632 | 0.1695 |
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| 0.1725 | 24.0 | 1200 | 0.5597 | 0.1463 |
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| 0.1492 | 26.0 | 1300 | 0.5356 | 0.1472 |
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| 0.118 | 28.0 | 1400 | 0.5499 | 0.1344 |
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| 0.1083 | 30.0 | 1500 | 0.5479 | 0.1310 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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