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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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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: openai/whisper-large-v2
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+ datasets:
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+ - mozilla-foundation/common_voice_17_0
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+ model-index:
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+ - name: Fast Whisper Small Ko - Youngsu Jo
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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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+ # Fast Whisper Small Ko - Youngsu Jo
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+
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+ This model is a fine-tuned version of [openai/fast_whisper-Large_v2](https://huggingface.co/openai/fast_whisper-Large_v2) 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: 0.2606
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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: 0.001
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+ - train_batch_size: 8
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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: 50
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+ - training_steps: 100
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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 |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.6398 | 1.1236 | 100 | 0.2606 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.1.dev0
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+ - Transformers 4.40.0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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