---
base_model: zainulhakim/240615-wav2vec2-ASR-Arabs
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: 240624-wav2vec2-ASR-Arab
  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. -->

# 240624-wav2vec2-ASR-Arab

This model is a fine-tuned version of [zainulhakim/240615-wav2vec2-ASR-Arabs](https://huggingface.co/zainulhakim/240615-wav2vec2-ASR-Arabs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4394
- Wer: 0.9293

## 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: 0.0001
- train_batch_size: 5
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 6.25  | 100  | 2.5463          | 1.0    |
| No log        | 12.5  | 200  | 1.4375          | 1.0    |
| No log        | 18.75 | 300  | 1.4394          | 0.9293 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1