---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Tamasheq-XLSR-53-mixed-Kabyle
  results: []
---

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# Tamasheq-XLSR-53-mixed-Kabyle

This model is a fine-tuned version of [ad019el/tamasheq-99-1](https://huggingface.co/ad019el/tamasheq-99-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7107
- Wer: 0.6480

## 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: 3e-05
- 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: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 7.2189        | 5.1   | 500  | 1.2682          | 0.8246 |
| 0.8718        | 10.2  | 1000 | 0.6082          | 0.6467 |
| 0.5876        | 15.3  | 1500 | 0.7394          | 0.6896 |
| 0.5031        | 20.41 | 2000 | 0.7304          | 0.6735 |
| 0.447         | 25.51 | 2500 | 0.7107          | 0.6480 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1