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---
license: apache-2.0
base_model: zainulhakim/240615-wav2vec2-ASR-Arabs
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 240624-wav2vec2-ASR-Arab
results: []
---
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# 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: 1.6706
- Wer: 0.9697
## 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 | 2.5459 | 1.0 |
| No log | 12.5 | 200 | 1.4102 | 1.0 |
| No log | 18.75 | 300 | 1.6706 | 0.9697 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|