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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-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-2-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: 0.3901 |
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- Wer: 20.1074 |
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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: 1000 |
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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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| 1.8697 | 2.08 | 100 | 1.5724 | 43.7232 | |
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| 1.2267 | 4.17 | 200 | 0.8637 | 90.9905 | |
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| 0.6451 | 6.25 | 300 | 0.6205 | 85.8473 | |
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| 0.4958 | 8.33 | 400 | 0.5447 | 93.4368 | |
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| 0.4053 | 10.42 | 500 | 0.4883 | 52.0644 | |
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| 0.3149 | 12.5 | 600 | 0.4480 | 32.4821 | |
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| 0.2608 | 14.58 | 700 | 0.4218 | 24.0334 | |
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| 0.2245 | 16.67 | 800 | 0.4045 | 22.0764 | |
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| 0.2038 | 18.75 | 900 | 0.3937 | 19.5227 | |
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| 0.183 | 20.83 | 1000 | 0.3901 | 20.1074 | |
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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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