End of training

README.md

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+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- AIHub/noise
+model-index:
+- name: Whisper Base Noise Ko - Dearlie
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Base Noise Ko - Dearlie
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Noise Data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3670
+- Cer: 57.4924
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.6034        | 0.8780 | 1000 | 1.6217          | 75.3884 |
+| 1.4053        | 1.7559 | 2000 | 1.4598          | 60.7893 |
+| 1.2681        | 2.6339 | 3000 | 1.3881          | 61.1636 |
+| 1.1608        | 3.5119 | 4000 | 1.3670          | 57.4924 |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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+}

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