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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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+ - ko
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+ license: apache-2.0
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+ base_model: openai/whisper-base
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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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+ - potatoSeop/chimsuja_dataset
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+ model-index:
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+ - name: whisper-chimsuja
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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-chimsuja
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+
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the potatoSeop/chimsuja_dataset dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3795
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+ - Cer: 12.0513
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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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+ - num_epochs: 3
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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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+ | 0.913 | 0.4 | 50 | 0.4665 | 14.4249 |
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+ | 0.4203 | 0.79 | 100 | 0.4156 | 18.1852 |
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+ | 0.343 | 1.19 | 150 | 0.3972 | 13.9544 |
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+ | 0.2746 | 1.59 | 200 | 0.3891 | 13.2048 |
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+ | 0.2838 | 1.98 | 250 | 0.3827 | 13.8794 |
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+ | 0.2153 | 2.38 | 300 | 0.3808 | 12.0721 |
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+ | 0.2035 | 2.78 | 350 | 0.3795 | 12.0513 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
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