---
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-large-xlsr-53-arabic
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99-2.feature_ext
  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.feature_ext

This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-arabic) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9535
- Wer: 0.9815

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.2797        | 15.79 | 300  | 2.8964          | 1.0    |
| 2.9763        | 31.58 | 600  | 2.7486          | 1.0    |
| 2.011         | 47.37 | 900  | 1.5549          | 0.9778 |
| 0.8448        | 63.16 | 1200 | 1.6495          | 0.9852 |
| 0.6122        | 78.95 | 1500 | 1.7794          | 0.9852 |
| 0.5039        | 94.74 | 1800 | 1.9535          | 0.9815 |


### Framework versions

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