End of training

README.md

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+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper_medium
+  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_medium
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the aihub dataset.
+It achieves the following results on the evaluation set:
+- Cer: 15.6625
+- Loss: 1.4176
+- Wer: 32.4788
+
+## 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-07
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Cer     | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:|
+| 1.8819        | 0.01  | 100  | 11.9999 | 1.5851          | 29.7754 |
+| 1.6964        | 0.02  | 200  | 14.6066 | 1.4982          | 31.2945 |
+| 1.6783        | 0.02  | 300  | 14.8315 | 1.4504          | 31.7318 |
+| 1.6238        | 0.03  | 400  | 15.3631 | 1.4259          | 32.1490 |
+| 1.7569        | 0.04  | 500  | 15.6625 | 1.4176          | 32.4788 |
+
+
+### 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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