---
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-voxrex-npsc-bokmaal
  results: []
---

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# wav2vec2-large-voxrex-npsc-bokmaal

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1311
- Wer: 0.1038

## 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: 8.379967082059723e-06
- train_batch_size: 16
- eval_batch_size: 16
- 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
- num_epochs: 0.1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2127        | 0.32  | 500  | 0.1335          | 0.1047 |
| 0.1976        | 0.64  | 1000 | 0.1309          | 0.1039 |
| 0.1887        | 0.97  | 1500 | 0.1306          | 0.1040 |
| 0.18          | 1.29  | 2000 | 0.1311          | 0.1038 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.4.dev0
- Tokenizers 0.11.0