---
library_name: transformers
language:
- tr
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
datasets:
- khanacademy
- turkish
- stem
- asr
metrics:
- wer
model-index:
- name: whisper-khanacademy-large-v3-turbo-tr
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: ysdede/khanacademy-turkish
      type: khanacademy
    metrics:
    - name: Wer
      type: wer
      value: 15.695132614398135
---

<!-- 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. -->

# whisper-khanacademy-large-v3-turbo-tr

This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the ysdede/khanacademy-turkish dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2129
- Wer: 15.6951

## 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: 5e-06
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.15
- training_steps: 1204
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2298        | 0.1429 | 172  | 0.2418          | 16.5877 |
| 0.2157        | 0.2857 | 344  | 0.2255          | 15.9611 |
| 0.1668        | 1.0939 | 516  | 0.2227          | 15.7461 |
| 0.1752        | 1.2367 | 688  | 0.2159          | 15.8846 |
| 0.1492        | 2.0449 | 860  | 0.2187          | 15.7571 |
| 0.1592        | 2.1877 | 1032 | 0.2134          | 15.5421 |
| 0.1336        | 2.3306 | 1204 | 0.2129          | 15.6951 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0