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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Tamasheq-XLSR-53-mixed-Kabyle
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. -->
# 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
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