---
base_model: YassineBenlaria/testing_pretrained_tamasheq_only
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: testing_pretrained_tamasheq_only
  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. -->

# testing_pretrained_tamasheq_only

This model is a fine-tuned version of [YassineBenlaria/testing_pretrained_tamasheq_only](https://huggingface.co/YassineBenlaria/testing_pretrained_tamasheq_only) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4042
- Wer: 0.8037

## 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: 350

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.6733        | 35.29  | 300  | 2.7902          | 1.0    |
| 2.3267        | 70.59  | 600  | 1.7481          | 0.8778 |
| 1.003         | 105.88 | 900  | 1.8251          | 0.8    |
| 0.6905        | 141.18 | 1200 | 2.0436          | 0.8148 |
| 0.5074        | 176.47 | 1500 | 2.1611          | 0.8259 |
| 0.3883        | 211.76 | 1800 | 2.2562          | 0.8333 |
| 0.3431        | 247.06 | 2100 | 2.3761          | 0.8148 |
| 0.3053        | 282.35 | 2400 | 2.3995          | 0.8074 |
| 0.2898        | 317.65 | 2700 | 2.4042          | 0.8037 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3