---
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: 0.0009
- Wer: 0.0
- Cer: 0.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.8786        | 6.63  | 100  | 1.3510          | 0.7866 | 0.6649 |
| 0.4559        | 13.32 | 200  | 0.3395          | 0.3590 | 0.2157 |
| 0.0793        | 19.95 | 300  | 0.0564          | 0.0996 | 0.0531 |
| 0.0137        | 26.63 | 400  | 0.0120          | 0.0017 | 0.0017 |
| 0.0042        | 33.32 | 500  | 0.0032          | 0.0    | 0.0    |
| 0.0021        | 39.95 | 600  | 0.0018          | 0.0    | 0.0    |
| 0.0014        | 46.63 | 700  | 0.0013          | 0.0    | 0.0    |
| 0.0012        | 53.32 | 800  | 0.0011          | 0.0    | 0.0    |
| 0.001         | 59.95 | 900  | 0.0010          | 0.0    | 0.0    |
| 0.001         | 66.63 | 1000 | 0.0009          | 0.0    | 0.0    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.9.1+cu111
- Datasets 2.7.1
- Tokenizers 0.13.2