---
license: apache-2.0
tags:
- automatic-speech-recognition
- multilingual_librispeech
- generated_from_trainer
datasets:
- multilingual_librispeech
model-index:
- name: wav2vec2-xlsr-53-300m-mls-german-ft
  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-xlsr-53-300m-mls-german-ft

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1936
- Wer: 0.1316

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.9888        | 7.25  | 500  | 2.9192          | 1.0    |
| 2.9313        | 14.49 | 1000 | 2.8698          | 1.0    |
| 1.068         | 21.74 | 1500 | 0.2647          | 0.2565 |
| 0.8151        | 28.99 | 2000 | 0.2067          | 0.1719 |
| 0.764         | 36.23 | 2500 | 0.1975          | 0.1568 |
| 0.7332        | 43.48 | 3000 | 0.1812          | 0.1463 |
| 0.5952        | 50.72 | 3500 | 0.1923          | 0.1428 |
| 0.6655        | 57.97 | 4000 | 0.1900          | 0.1404 |
| 0.574         | 65.22 | 4500 | 0.1822          | 0.1370 |
| 0.6211        | 72.46 | 5000 | 0.1937          | 0.1355 |
| 0.5883        | 79.71 | 5500 | 0.1872          | 0.1335 |
| 0.5666        | 86.96 | 6000 | 0.1874          | 0.1324 |
| 0.5436        | 94.2  | 6500 | 0.1924          | 0.1311 |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3