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
+datasets:
+- Jinho11/jinho_data_2023-11-19
+model-index:
+- name: Kim_Sohn_Whisper
+  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. -->
+
+# Kim_Sohn_Whisper
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the jinho_data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6363
+- Cer: 15.4890
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3344        | 2.43  | 1000 | 0.5535          | 19.6948 |
+| 0.1546        | 4.85  | 2000 | 0.5602          | 16.2194 |
+| 0.0505        | 7.28  | 3000 | 0.6095          | 15.7197 |
+| 0.0266        | 9.71  | 4000 | 0.6363          | 15.4890 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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+}