transformers tensorboard safetensors whisper automatic-speech-recognition whisper-event generated_from_trainer tr dataset:mozilla-foundation/common_voice_16_0 base_model:alikanakar/whisper-synthesized-turkish-8-hour license:apache-2.0 model-index endpoints_compatible region:us
---
language:
- tr
license: apache-2.0
base_model: alikanakar/whisper-synthesized-turkish-8-hour
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_0
metrics:
- wer
model-index:
- name: Whisper Small Turkish Derived
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_16_0 tr
      type: mozilla-foundation/common_voice_16_0
      config: tr
      split: test
      args: tr
    metrics:
    - name: Wer
      type: wer
      value: 18.625004393518683
---

<!-- 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. -->

# Whisper Small Turkish Derived

This model is a fine-tuned version of [alikanakar/whisper-synthesized-turkish-8-hour](https://huggingface.co/alikanakar/whisper-synthesized-turkish-8-hour) on the mozilla-foundation/common_voice_16_0 tr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2859
- Wer: 18.6250

## 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: 5e-07
- train_batch_size: 16
- eval_batch_size: 32
- 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: 100
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3197        | 0.58  | 200  | 0.3517          | 21.5757 |
| 0.2672        | 1.16  | 400  | 0.3203          | 20.6724 |
| 0.2532        | 1.75  | 600  | 0.3065          | 19.6496 |
| 0.2382        | 2.33  | 800  | 0.2991          | 19.3420 |
| 0.2448        | 2.91  | 1000 | 0.2943          | 19.1276 |
| 0.2197        | 3.49  | 1200 | 0.2909          | 18.9712 |
| 0.2159        | 4.07  | 1400 | 0.2885          | 18.7340 |
| 0.2212        | 4.65  | 1600 | 0.2871          | 18.6988 |
| 0.2114        | 5.24  | 1800 | 0.2861          | 18.6320 |
| 0.2092        | 5.82  | 2000 | 0.2859          | 18.6250 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
