---
base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq-1
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Kabyle_xlsr-finetuned-tamasheq-1
  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. -->

# Kabyle_xlsr-finetuned-tamasheq-1

This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq-1](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4590
- Wer: 0.8584

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.4525        | 15.79 | 300  | 1.4650          | 0.9462 |
| 0.6914        | 31.58 | 600  | 1.2240          | 0.8612 |
| 0.3942        | 47.37 | 900  | 1.3305          | 0.8159 |
| 0.354         | 63.16 | 1200 | 1.3404          | 0.8640 |
| 0.2886        | 78.95 | 1500 | 1.4590          | 0.8584 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3