End of training

README.md

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+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+model-index:
+- name: whisper_finetune
+  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_finetune
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the aihub_20000 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4938
+- Cer: 14.1359
+
+## 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: 32
+- eval_batch_size: 16
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3736        | 0.8   | 500  | 0.4641          | 15.1146 |
+| 0.2685        | 1.6   | 1000 | 0.4525          | 14.3150 |
+| 0.1929        | 2.4   | 1500 | 0.4424          | 14.0470 |
+| 0.1241        | 3.2   | 2000 | 0.4584          | 13.8724 |
+| 0.1347        | 4.0   | 2500 | 0.4554          | 13.9110 |
+| 0.0944        | 4.8   | 3000 | 0.4693          | 14.0391 |
+| 0.0761        | 5.6   | 3500 | 0.4851          | 14.1281 |
+| 0.0606        | 6.4   | 4000 | 0.4938          | 14.1359 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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+}

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