---
base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq
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](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3077
- Wer: 0.8414

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.1717        | 15.79 | 300  | 2.8410          | 1.0    |
| 2.1673        | 31.58 | 600  | 1.1010          | 0.8612 |
| 0.7139        | 47.37 | 900  | 1.0831          | 0.8215 |
| 0.4832        | 63.16 | 1200 | 1.1500          | 0.8187 |
| 0.37          | 78.95 | 1500 | 1.2485          | 0.8130 |
| 0.3206        | 94.74 | 1800 | 1.3077          | 0.8414 |


### Framework versions

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