---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xlsr-53_full_train
  results: []
---

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# wav2vec2-large-xlsr-53_full_train

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the Swissdial dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2811
- Wer: 0.2909

## Model description

Wav2Vec2-XLSR-53 trained on augmented Swiss Dial dataset

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.7666        | 2.69  | 1000 | 0.4356          | 0.4954 |
| 0.7868        | 5.39  | 2000 | 0.2693          | 0.3180 |
| 0.6948        | 8.09  | 3000 | 0.2811          | 0.2909 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1