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End of training

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README.md ADDED
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+ ---
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+ language:
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+ - zh
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+ license: apache-2.0
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+ base_model: openai/whisper-medium
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+ tags:
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+ - hf-asr-leaderboard
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_16_0
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+ model-index:
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+ - name: Whisper Small zh-TW - Chinese
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+ results: []
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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 Small zh-TW - Chinese
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+
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1496
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+ - Cer: 99.9924
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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: 8
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+ - eval_batch_size: 4
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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: 4000
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.1829 | 0.66 | 1000 | 0.1742 | 100.0076 |
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+ | 0.0495 | 1.33 | 2000 | 0.1629 | 99.9824 |
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+ | 0.044 | 1.99 | 3000 | 0.1497 | 99.9849 |
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+ | 0.0193 | 2.65 | 4000 | 0.1496 | 99.9924 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0.post301
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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