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--- |
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language: |
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- tr |
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license: apache-2.0 |
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base_model: alikanakar/whisper-synthesized-turkish-8-hour |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Turkish Derived |
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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: mozilla-foundation/common_voice_16_0 tr |
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type: mozilla-foundation/common_voice_16_0 |
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config: tr |
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split: test |
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args: tr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 18.625004393518683 |
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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 Small Turkish Derived |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2859 |
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- Wer: 18.6250 |
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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-07 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 2000 |
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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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| 0.3197 | 0.58 | 200 | 0.3517 | 21.5757 | |
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| 0.2672 | 1.16 | 400 | 0.3203 | 20.6724 | |
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| 0.2532 | 1.75 | 600 | 0.3065 | 19.6496 | |
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| 0.2382 | 2.33 | 800 | 0.2991 | 19.3420 | |
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| 0.2448 | 2.91 | 1000 | 0.2943 | 19.1276 | |
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| 0.2197 | 3.49 | 1200 | 0.2909 | 18.9712 | |
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| 0.2159 | 4.07 | 1400 | 0.2885 | 18.7340 | |
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| 0.2212 | 4.65 | 1600 | 0.2871 | 18.6988 | |
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| 0.2114 | 5.24 | 1800 | 0.2861 | 18.6320 | |
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| 0.2092 | 5.82 | 2000 | 0.2859 | 18.6250 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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