| --- |
| language: |
| - tr |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny TR |
| results: [] |
| datasets: |
| - mozilla-foundation/common_voice_13_0 |
| --- |
| |
| <!-- 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 Tiny TR |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 13 Turkish 70% dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5730 |
| - Wer: 55.4805 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Todo |
|
|
| Train with `mozilla-foundation/common_voice_13_0` after the initial training. |
|
|
| ## 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: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - 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 |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.3106 | 0.5 | 97 | 0.5626 | 57.0558 | |
| | 0.3361 | 1.0 | 194 | 0.5635 | 56.9995 | |
| | 0.3089 | 1.5 | 291 | 0.5639 | 57.6184 | |
| | 0.2665 | 1.99 | 388 | 0.5746 | 56.4088 | |
| | 0.2794 | 2.49 | 485 | 0.5799 | 56.2213 | |
| | 0.2364 | 2.99 | 582 | 0.5730 | 55.4805 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.35.0.dev0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
