---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_6
  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_common_voice-8_6

This model is a fine-tuned version of [husnu/wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_5](https://huggingface.co/husnu/wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_5) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3646
- Wer: 0.3478

## 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1024        | 0.51  | 400  | 0.4030          | 0.4171 |
| 0.1533        | 1.02  | 800  | 0.4733          | 0.4570 |
| 0.1584        | 1.53  | 1200 | 0.4150          | 0.4371 |
| 0.1538        | 2.04  | 1600 | 0.4104          | 0.4390 |
| 0.1395        | 2.55  | 2000 | 0.3891          | 0.4133 |
| 0.1415        | 3.07  | 2400 | 0.3877          | 0.4015 |
| 0.1261        | 3.58  | 2800 | 0.3685          | 0.3899 |
| 0.1149        | 4.09  | 3200 | 0.3791          | 0.3881 |
| 0.1003        | 4.6   | 3600 | 0.3642          | 0.3626 |
| 0.0934        | 5.11  | 4000 | 0.3755          | 0.3516 |
| 0.0805        | 5.62  | 4400 | 0.3646          | 0.3478 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 2.1.0
- Tokenizers 0.10.3