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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-synthesized-turkish-2-hour |
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results: [] |
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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-synthesized-turkish-2-hour |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3457 |
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- Wer: 20.3461 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 500 |
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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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| 1.3076 | 2.08 | 100 | 0.6286 | 96.2530 | |
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| 0.421 | 4.17 | 200 | 0.4269 | 22.7088 | |
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| 0.1585 | 6.25 | 300 | 0.2911 | 22.3150 | |
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| 0.0482 | 8.33 | 400 | 0.3047 | 16.6706 | |
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| 0.022 | 10.42 | 500 | 0.3086 | 16.5752 | |
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| 0.013 | 12.5 | 600 | 0.3209 | 19.7613 | |
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| 0.0049 | 14.58 | 700 | 0.3185 | 16.1575 | |
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| 0.0025 | 16.67 | 800 | 0.3278 | 16.7303 | |
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| 0.0019 | 18.75 | 900 | 0.3239 | 20.5012 | |
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| 0.0019 | 20.83 | 1000 | 0.3307 | 19.7613 | |
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| 0.0011 | 22.92 | 1100 | 0.3329 | 20.5728 | |
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| 0.0008 | 25.0 | 1200 | 0.3361 | 20.5609 | |
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| 0.0007 | 27.08 | 1300 | 0.3383 | 20.3341 | |
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| 0.0006 | 29.17 | 1400 | 0.3403 | 20.2029 | |
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| 0.0006 | 31.25 | 1500 | 0.3418 | 20.3699 | |
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| 0.0006 | 33.33 | 1600 | 0.3432 | 20.0477 | |
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| 0.0005 | 35.42 | 1700 | 0.3442 | 20.0835 | |
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| 0.0005 | 37.5 | 1800 | 0.3450 | 20.1313 | |
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| 0.0005 | 39.58 | 1900 | 0.3454 | 20.3699 | |
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| 0.0005 | 41.67 | 2000 | 0.3457 | 20.3461 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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