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--- |
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library_name: transformers |
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language: |
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- tr |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- generated_from_trainer |
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datasets: |
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- khanacademy |
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- turkish |
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- stem |
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- asr |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-khanacademy-large-v3-turbo-tr |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: ysdede/khanacademy-turkish |
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type: khanacademy |
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metrics: |
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- name: Wer |
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type: wer |
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value: 15.695132614398135 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-khanacademy-large-v3-turbo-tr |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the ysdede/khanacademy-turkish dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2129 |
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- Wer: 15.6951 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.15 |
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- training_steps: 1204 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.2298 | 0.1429 | 172 | 0.2418 | 16.5877 | |
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| 0.2157 | 0.2857 | 344 | 0.2255 | 15.9611 | |
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| 0.1668 | 1.0939 | 516 | 0.2227 | 15.7461 | |
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| 0.1752 | 1.2367 | 688 | 0.2159 | 15.8846 | |
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| 0.1492 | 2.0449 | 860 | 0.2187 | 15.7571 | |
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| 0.1592 | 2.1877 | 1032 | 0.2134 | 15.5421 | |
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| 0.1336 | 2.3306 | 1204 | 0.2129 | 15.6951 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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