update model card README.md

README.md

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+---
+language:
+- ko
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000
+metrics:
+- wer
+model-index:
+- name: openai/whisper-small-Ko-haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000
+      type: haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000
+      args: 'config: ko, split: train, validation, test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 14.96458761708933
+---
+
+<!-- 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. -->
+
+# openai/whisper-small-Ko-haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1613
+- Wer: 14.9646
+- Cer: 7.4814
+
+## 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: 1.25e-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: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
+| 0.0098        | 4.0   | 1000 | 0.1831          | 18.0032 | 9.0777 |
+| 0.0007        | 8.0   | 2000 | 0.1634          | 15.6271 | 7.7868 |
+| 0.0002        | 12.0  | 3000 | 0.1611          | 15.2159 | 7.5300 |
+| 0.0001        | 16.0  | 4000 | 0.1605          | 15.0331 | 7.5370 |
+| 0.0001        | 20.0  | 5000 | 0.1613          | 14.9646 | 7.4814 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.5
+- Tokenizers 0.13.3