---
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 TR
  results: []
datasets:
- mozilla-foundation/common_voice_13_0
---

<!-- 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 TR

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 13 Turkish 70% dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5730
- Wer: 55.4805

## Model description

More information needed

## Todo

Train with `mozilla-foundation/common_voice_13_0` after the initial training.

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3106        | 0.5   | 97   | 0.5626          | 57.0558 |
| 0.3361        | 1.0   | 194  | 0.5635          | 56.9995 |
| 0.3089        | 1.5   | 291  | 0.5639          | 57.6184 |
| 0.2665        | 1.99  | 388  | 0.5746          | 56.4088 |
| 0.2794        | 2.49  | 485  | 0.5799          | 56.2213 |
| 0.2364        | 2.99  | 582  | 0.5730          | 55.4805 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1