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  1. README.md +88 -0
  2. generation_config.json +240 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_17_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-tiny-ko-common
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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: common_voice_17_0
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+ type: common_voice_17_0
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+ config: ko
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+ split: None
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+ args: ko
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 61.8411000763942
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+ ---
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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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+
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+ # whisper-tiny-ko-common
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_17_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3774
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+ - Cer: 30.0833
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+ - Wer: 61.8411
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+ - Cer Wer Avg: 45.9622
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 10000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Cer Wer Avg |
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+ |:-------------:|:--------:|:-----:|:---------------:|:-------:|:-------:|:-----------:|
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+ | 0.0005 | 22.2222 | 1000 | 1.0691 | 27.3648 | 58.8235 | 43.0942 |
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+ | 0.0002 | 44.4444 | 2000 | 1.1396 | 30.6350 | 62.9488 | 46.7919 |
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+ | 0.0001 | 66.6667 | 3000 | 1.1884 | 31.1967 | 63.5982 | 47.3974 |
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+ | 0.0001 | 88.8889 | 4000 | 1.2300 | 31.4776 | 64.2093 | 47.8435 |
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+ | 0.0 | 111.1111 | 5000 | 1.2656 | 31.7284 | 64.7441 | 48.2362 |
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+ | 0.0 | 133.3333 | 6000 | 1.2993 | 32.1396 | 65.0497 | 48.5946 |
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+ | 0.0 | 155.5556 | 7000 | 1.3272 | 32.3804 | 64.9351 | 48.6577 |
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+ | 0.0 | 177.7778 | 8000 | 1.3518 | 29.9829 | 61.8029 | 45.8929 |
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+ | 0.0 | 200.0 | 9000 | 1.3693 | 30.1836 | 61.8793 | 46.0314 |
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+ | 0.0 | 222.2222 | 10000 | 1.3774 | 30.0833 | 61.8411 | 45.9622 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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