---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Quran_Whisper_tiny
  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. -->

# Quran_Whisper_tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0207
- Wer: 229.5347
- Cer: 117.8601

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|
| 0.0495        | 0.1542 | 400  | 0.0480          | 368.5144 | 171.2066 |
| 0.0286        | 0.3083 | 800  | 0.0298          | 285.7357 | 139.7411 |
| 0.0216        | 0.4625 | 1200 | 0.0246          | 228.4060 | 111.7943 |
| 0.0186        | 0.6166 | 1600 | 0.0222          | 226.2672 | 114.4094 |
| 0.0175        | 0.7708 | 2000 | 0.0211          | 248.6376 | 128.6927 |
| 0.0173        | 0.9249 | 2400 | 0.0207          | 229.5347 | 117.8601 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0