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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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+ - customd_ataset
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+ model-index:
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+ - name: Whisper large-v2 Korean - ML_project_custom_data_10epoch_with500
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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_custom_data_10epoch_with500
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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 customd_ataset dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7993
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+ - Cer: 20.9642
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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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+ - num_epochs: 10
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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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+ | 0.1305 | 1.0 | 113 | 0.8786 | 53.5427 |
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+ | 0.1204 | 2.0 | 226 | 0.8298 | 93.2067 |
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+ | 0.0958 | 3.0 | 339 | 0.8469 | 24.7626 |
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+ | 0.0543 | 4.0 | 452 | 0.8597 | 46.3112 |
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+ | 0.0408 | 5.0 | 565 | 0.8339 | 63.3309 |
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+ | 0.0375 | 6.0 | 678 | 0.8222 | 60.4091 |
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+ | 0.0267 | 7.0 | 791 | 0.7989 | 20.7451 |
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+ | 0.0066 | 8.0 | 904 | 0.8033 | 24.9087 |
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+ | 0.0061 | 9.0 | 1017 | 0.7966 | 20.2337 |
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+ | 0.0021 | 10.0 | 1130 | 0.7993 | 20.9642 |
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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 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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