---
language:
- tr
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: base Turkish Whisper (bTW)
  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. -->

# base Turkish Whisper (bTW)

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Ermetal Meetings dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1975
- Wer: 1.6817
- Cer: 1.2800

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
| 1.5514        | 33.31  | 100  | 1.6389          | 0.8196 | 0.8754 |
| 0.1703        | 66.62  | 200  | 1.6896          | 1.0058 | 0.6987 |
| 0.0039        | 99.92  | 300  | 1.9380          | 1.7011 | 1.1631 |
| 0.0015        | 133.31 | 400  | 2.0324          | 1.6950 | 1.2498 |
| 0.0008        | 166.62 | 500  | 2.0957          | 1.4898 | 1.0992 |
| 0.0005        | 199.92 | 600  | 2.1417          | 1.7320 | 1.2528 |
| 0.0004        | 233.31 | 700  | 2.1681          | 1.6077 | 1.1845 |
| 0.0003        | 266.62 | 800  | 2.1847          | 1.625  | 1.2008 |
| 0.0003        | 299.92 | 900  | 2.1944          | 1.6515 | 1.2196 |
| 0.0003        | 333.31 | 1000 | 2.1975          | 1.6817 | 1.2800 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0+cu102
- Datasets 2.9.0
- Tokenizers 0.13.2