---
base_model: ad019el/tamasheq-99-2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99-2
  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-99-2

This model is a fine-tuned version of [ad019el/tamasheq-99-2](https://huggingface.co/ad019el/tamasheq-99-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2993
- Wer: 0.9

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.1781        | 4.62  | 300  | 1.7684          | 1.0853 |
| 1.1518        | 9.23  | 600  | 1.1398          | 0.8588 |
| 0.789         | 13.85 | 900  | 1.0551          | 0.8647 |
| 0.659         | 18.46 | 1200 | 1.1470          | 0.8735 |
| 0.5883        | 23.08 | 1500 | 1.2403          | 0.9    |
| 0.5239        | 27.69 | 1800 | 1.2993          | 0.9    |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3