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---
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
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