---
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: 1.1451
- Wer: 1.0165
- Cer: 0.7894

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.6901        | 4.54  | 100  | 1.3928          | 0.8093 | 0.4264 |
| 0.6163        | 9.09  | 200  | 0.8885          | 0.7907 | 0.4532 |
| 0.2692        | 13.63 | 300  | 0.8719          | 0.7823 | 0.4474 |
| 0.1148        | 18.18 | 400  | 0.9275          | 0.7393 | 0.4280 |
| 0.04          | 22.72 | 500  | 1.0308          | 0.8162 | 0.5241 |
| 0.0114        | 27.27 | 600  | 1.0885          | 0.9666 | 0.7902 |
| 0.0051        | 31.81 | 700  | 1.1159          | 0.9594 | 0.6967 |
| 0.0036        | 36.36 | 800  | 1.1301          | 1.0451 | 0.7819 |
| 0.0031        | 40.9  | 900  | 1.1415          | 1.0496 | 0.8072 |
| 0.0028        | 45.45 | 1000 | 1.1451          | 1.0165 | 0.7894 |


### Framework versions

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