---
library_name: transformers
language:
- tr
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Tiny Turkish Combine 8k - Chee Li
  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. -->

# Whisper Tiny Turkish Combine 8k - Chee Li

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Meta JSON Turkish Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6564
- Wer: 173.7311

## 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: 8
- 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_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Wer      |
|:-------------:|:--------:|:----:|:---------------:|:--------:|
| 1.0132        | 25.6410  | 1000 | 1.3487          | 149.9555 |
| 0.0215        | 51.2821  | 2000 | 0.5751          | 126.8923 |
| 0.0026        | 76.9231  | 3000 | 0.6045          | 176.7587 |
| 0.0011        | 102.5641 | 4000 | 0.6247          | 148.6198 |
| 0.0006        | 128.2051 | 5000 | 0.6369          | 174.5325 |
| 0.0004        | 153.8462 | 6000 | 0.6470          | 171.5049 |
| 0.0003        | 179.4872 | 7000 | 0.6530          | 184.2386 |
| 0.0003        | 205.1282 | 8000 | 0.6564          | 173.7311 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.1