End of training

README.md

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+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+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-large-v2](https://huggingface.co/openai/whisper-large-v2) on the aihub_100000 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1966
+- Cer: 5.9236
+- Wer: 23.0770
+
+## 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-06
+- train_batch_size: 16
+- 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 | Cer    | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:------:|:---------------:|:-------:|
+| 0.1866        | 0.16  | 1000 | 6.0386 | 0.1963          | 23.2684 |
+| 0.1788        | 0.32  | 2000 | 6.0483 | 0.1979          | 23.2267 |
+| 0.1541        | 0.48  | 3000 | 6.0116 | 0.1929          | 23.5519 |
+| 0.1692        | 0.64  | 4000 | 0.1966 | 5.9236          | 23.0770 |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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+}

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