pytorch tensorboard wav2vec2 automatic-speech-recognition de transformers mozilla-foundation/common_voice_9_0 generated_from_trainer model-index
---
language:
- de
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_9_0
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-300m-german
  results: []
---

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# wav2vec2-xls-r-300m-german

This model is a fine-tuned version of [wav2vec2-xls-r-300m-german](https://huggingface.co/wav2vec2-xls-r-300m-german) on the MOZILLA-FOUNDATION/COMMON_VOICE_9_0 - DE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4304
- Wer: 0.4507

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3598        | 1.0   | 569  | 0.4313          | 0.4512 |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.10.1+cu113
- Datasets 2.1.0
- Tokenizers 0.11.0
