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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-4-hour-llr |
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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-4-hour-llr |
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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: 0.2356 |
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- Wer: 14.9179 |
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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-06 |
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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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| 1.8278 | 1.04 | 100 | 1.5357 | 41.2110 | |
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| 1.2048 | 2.08 | 200 | 0.8059 | 86.3165 | |
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| 0.6206 | 3.12 | 300 | 0.5751 | 94.1612 | |
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| 0.4927 | 4.17 | 400 | 0.5024 | 80.1568 | |
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| 0.4277 | 5.21 | 500 | 0.4451 | 48.6607 | |
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| 0.3502 | 6.25 | 600 | 0.3999 | 32.7490 | |
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| 0.2948 | 7.29 | 700 | 0.3650 | 21.5961 | |
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| 0.24 | 8.33 | 800 | 0.3344 | 17.7756 | |
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| 0.2079 | 9.38 | 900 | 0.3010 | 15.2512 | |
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| 0.1416 | 10.42 | 1000 | 0.2402 | 13.8687 | |
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| 0.1076 | 11.46 | 1100 | 0.2357 | 14.4427 | |
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| 0.0905 | 12.5 | 1200 | 0.2350 | 14.0415 | |
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| 0.0759 | 13.54 | 1300 | 0.2348 | 14.0230 | |
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| 0.0819 | 14.58 | 1400 | 0.2345 | 14.0600 | |
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| 0.0608 | 15.62 | 1500 | 0.2346 | 14.3563 | |
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| 0.0712 | 16.67 | 1600 | 0.2350 | 14.2575 | |
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| 0.0608 | 17.71 | 1700 | 0.2355 | 14.8562 | |
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| 0.0632 | 18.75 | 1800 | 0.2354 | 14.9241 | |
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| 0.0544 | 19.79 | 1900 | 0.2356 | 14.9303 | |
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| 0.0529 | 20.83 | 2000 | 0.2356 | 14.9179 | |
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### Framework versions |
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- Transformers 4.28.0 |
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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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