---
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: 1.0576
- Wer: 1.1825
- Cer: 1.0651

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.6978        | 3.33  | 100  | 1.3610          | 0.7852 | 0.4184 |
| 0.6547        | 6.66  | 200  | 0.8659          | 0.7226 | 0.4379 |
| 0.3805        | 9.99  | 300  | 0.8060          | 0.7256 | 0.4330 |
| 0.1886        | 13.33 | 400  | 0.8382          | 0.6395 | 0.4164 |
| 0.0745        | 16.66 | 500  | 0.9106          | 0.8185 | 0.6747 |
| 0.0303        | 19.99 | 600  | 0.9697          | 0.8509 | 0.5685 |
| 0.0139        | 23.33 | 700  | 1.0096          | 0.8773 | 0.6483 |
| 0.0069        | 26.66 | 800  | 1.0367          | 1.2781 | 1.2923 |
| 0.0054        | 29.99 | 900  | 1.0518          | 1.2363 | 1.1066 |
| 0.0048        | 33.33 | 1000 | 1.0576          | 1.1825 | 1.0651 |


### Framework versions

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