---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-turkish-colab
  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-large-xls-r-300m-turkish-colab

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_6.1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4380
- Wer: 0.3508

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.8764        | 3.67  | 400  | 0.7239          | 0.7221 |
| 0.4526        | 7.34  | 800  | 0.5009          | 0.5345 |
| 0.2169        | 11.01 | 1200 | 0.4728          | 0.4693 |
| 0.1438        | 14.68 | 1600 | 0.4648          | 0.4669 |
| 0.1095        | 18.35 | 2000 | 0.4642          | 0.4094 |
| 0.0893        | 22.02 | 2400 | 0.4749          | 0.3879 |
| 0.0701        | 25.69 | 2800 | 0.4410          | 0.3665 |
| 0.056         | 29.36 | 3200 | 0.4380          | 0.3508 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3