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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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tags: |
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- hf-asr-leaderboard |
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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: base Turkish Whisper (bTW) |
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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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# base Turkish Whisper (bTW) |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Ermetal Meetings dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1451 |
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- Wer: 1.0165 |
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- Cer: 0.7894 |
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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: 16 |
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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: 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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 1.6901 | 4.54 | 100 | 1.3928 | 0.8093 | 0.4264 | |
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| 0.6163 | 9.09 | 200 | 0.8885 | 0.7907 | 0.4532 | |
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| 0.2692 | 13.63 | 300 | 0.8719 | 0.7823 | 0.4474 | |
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| 0.1148 | 18.18 | 400 | 0.9275 | 0.7393 | 0.4280 | |
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| 0.04 | 22.72 | 500 | 1.0308 | 0.8162 | 0.5241 | |
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| 0.0114 | 27.27 | 600 | 1.0885 | 0.9666 | 0.7902 | |
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| 0.0051 | 31.81 | 700 | 1.1159 | 0.9594 | 0.6967 | |
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| 0.0036 | 36.36 | 800 | 1.1301 | 1.0451 | 0.7819 | |
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| 0.0031 | 40.9 | 900 | 1.1415 | 1.0496 | 0.8072 | |
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| 0.0028 | 45.45 | 1000 | 1.1451 | 1.0165 | 0.7894 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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