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---
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-xls-r-1b-portuguese
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-1b-portuguese-casa-civil-030124
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-xls-r-1b-portuguese-casa-civil-030124
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.
It achieves the following results on the evaluation set:
- Loss: 0.5479
- Wer: 0.1310
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 28.5913 | 2.0 | 100 | 1.2903 | 0.1460 |
| 1.1869 | 4.0 | 200 | 0.6083 | 0.1537 |
| 0.8173 | 6.0 | 300 | 0.7054 | 0.2217 |
| 0.7882 | 8.0 | 400 | 0.7377 | 0.2711 |
| 0.6783 | 10.0 | 500 | 0.7785 | 0.2321 |
| 0.5541 | 12.0 | 600 | 0.6881 | 0.2394 |
| 0.5104 | 14.0 | 700 | 0.7285 | 0.2270 |
| 0.344 | 16.0 | 800 | 0.6114 | 0.1991 |
| 0.304 | 18.0 | 900 | 0.5559 | 0.1906 |
| 0.2315 | 20.0 | 1000 | 0.6833 | 0.1727 |
| 0.2144 | 22.0 | 1100 | 0.5632 | 0.1695 |
| 0.1725 | 24.0 | 1200 | 0.5597 | 0.1463 |
| 0.1492 | 26.0 | 1300 | 0.5356 | 0.1472 |
| 0.118 | 28.0 | 1400 | 0.5499 | 0.1344 |
| 0.1083 | 30.0 | 1500 | 0.5479 | 0.1310 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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