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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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+ 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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+ - Bingsu/zeroth-korean
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+ model-index:
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+ - name: Whisper large-v2 Korean - ML_project_voice2text_largev2
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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 large-v2 Korean - ML_project_voice2text_largev2
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) 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: 0.0754
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+ - Cer: 1.7235
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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: 4
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+ - eval_batch_size: 2
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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: 8000
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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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+ | 0.2673 | 0.1797 | 1000 | 0.2870 | 8.9863 |
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+ | 0.2145 | 0.3593 | 2000 | 0.2292 | 6.1204 |
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+ | 0.1762 | 0.5390 | 3000 | 0.1896 | 16.8891 |
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+ | 0.1408 | 0.7186 | 4000 | 0.1579 | 4.1889 |
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+ | 0.1077 | 0.8983 | 5000 | 0.1229 | 4.1104 |
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+ | 0.0763 | 1.0780 | 6000 | 0.0978 | 3.4940 |
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+ | 0.0414 | 1.2576 | 7000 | 0.0832 | 2.2456 |
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+ | 0.0336 | 1.4373 | 8000 | 0.0754 | 1.7235 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.2.dev0
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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