---
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: 1.9500
- Wer: 2.1895
- Cer: 1.3548

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.7116        | 5.53  | 100  | 1.9115          | 1.1785 | 0.6901 |
| 0.6101        | 11.11 | 200  | 1.5123          | 1.1039 | 0.6221 |
| 0.2376        | 16.64 | 300  | 1.5636          | 0.9817 | 0.6448 |
| 0.0591        | 22.21 | 400  | 1.7179          | 2.2005 | 1.3384 |
| 0.0177        | 27.75 | 500  | 1.8454          | 1.9205 | 1.2140 |
| 0.0096        | 33.32 | 600  | 1.8529          | 1.2983 | 0.7777 |
| 0.0048        | 38.85 | 700  | 1.9306          | 2.3411 | 1.4385 |
| 0.0032        | 44.43 | 800  | 1.9388          | 1.9523 | 1.2705 |
| 0.0028        | 49.96 | 900  | 1.9472          | 1.8655 | 1.2023 |
| 0.0026        | 55.53 | 1000 | 1.9500          | 2.1895 | 1.3548 |


### Framework versions

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