End of training
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- model.safetensors +1 -1
README.md
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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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model.safetensors
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size 3235581408
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version https://git-lfs.github.com/spec/v1
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size 3235581408
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